Publications

Use of Machine Learning to Predict Medication Adherence in Individuals at Risk for Atherosclerotic Cardiovascular Disease
Briefly evaluates the factors behind medication adherence of patients at risk for atherosclerotic cardiovascular disease.
Elsevier Smart Health
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Use of Machine Learning to Predict Medication Adherence in Individuals at Risk for Atherosclerotic Cardiovascular Disease
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge
Optimizes change in consumed nutrients while driving users to their desired diet.
International Conference on Connected Health: Applications, Systems and Engineering Technologies (IEEE/ACM CHASE 2022)
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
A multi-modal dataset for stress and alcohol relapse collected in real world settings.
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2022
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ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design
We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2022
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Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design
On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts
CNN model developed, quantized, and deployed on Android platform to screen PD patients from hand-drawn spirals.
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN’22)
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On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts
Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning
Warn users of potential hyperglycemic events in advance and provide interpretation for decisions made by models to modify lifestyle.
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN’22)
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Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning
Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables
A cascading approach for optimizing energy and memory requirements of a machine learning model running on an embedded device.
IEEE Sensors Journal, 2022.
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Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables
Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification
A stress classification and personalization framework based on Convolutional Neural Networks.
IEEE Engineering in Medicine and Biology Conference (EMBC), 2022
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Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification
Continual Learning for Activity Recognition
Continual learning formulation in the context of sensor systems.
IEEE Engineering in Medicine and Biology Conference (EMBC), 2022
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Continual Learning for Activity Recognition
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments
We propose an algorithm that can reconstruct the missing input data for unavailable sensors.
IEEE Engineering in Medicine and Biology Conference (EMBC), 2022
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Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments
Boosting Lying Posture Classification with Transfer Learning
IEEE Engineering in Medicine and Biology Conference (EMBC), 2022
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Boosting Lying Posture Classification with Transfer Learning
Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data
IEEE Consumer Communications & Networking Conference (ICCNC), 2022.
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Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data
LIDS: Mobile System to Monitor Type and Volume of Liquid Intake
IEEE Sensors Journal (JSEN), May 2021
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Personalized Activity Recognition using Partially Available Target Data
IEEE Transactions on Mobile Computing
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Personalized Activity Recognition using Partially Available Target Data
Linear Mode Connectivity in Multitask and Continual Learning
International Conference on Learning Representations (ICLR), 2021
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Linear Mode Connectivity in Multitask and Continual Learning
Mobile Health for Alcohol Recovery and Relapse Prevention
IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
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Mobile Health for Alcohol Recovery and Relapse Prevention
Design and Evaluation of a Wearable Assistive Technology for Hemianopic Stroke Patients
International Symposium on Wearable Computers (ISWC), 2020
Understanding the Role of Training Regimes in Continual Learning
Advances in Neural Information Processing Systems (NeurIPS), 2020
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Understanding the Role of Training Regimes in Continual Learning
TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems
ACM Transactions on Design Automation of Electronic Systems (TODAES), Article 5, September 2020
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TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems
Transfer Learning for Activity Recognition in Mobile Health
KDD 2020 Workshop on on Applied Data Science for Healthcare (DSHealth), August 24, 2020
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Transfer Learning for Activity Recognition in Mobile Health
Dropout as an Implicit Gating Mechanism For Continual Learning
*Selected for oral presentation and received runner-up award in CVPR 2020 continual learning workshop
CVPR 2020 Workshop on Continual Learning in Computer Vision (CLVISION), June 14, 2020, Seattle, WA, USA
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Dropout as an Implicit Gating Mechanism For Continual Learning
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
International Joint Conference on Artificial Intelligence (IJCAI), 2020
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Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
Proximity-Based Active Learning for Eating Moment Recognition in WearableSystems
The 6th ACM Workshop on Wearable Systems and Applications (WearSys 2020) in Conjunction with ACM MobiSys 2020, June 19, 2020, Toronto, Canada
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Memory-Aware Active Learning in Mobile Sensing Systems
IEEE Transactions on Mobile Computing (TMC), 2020
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Malaria epidemics in India: Role of climatic condition and control measures
Science of The Total Environment, vol. 712, 136368 pages, April 2020
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Adversarial Transferability in Wearable Sensor Systems
arXiv preprint
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Adversarial Transferability in Wearable Sensor Systems
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
arXiv preprint arXiv:2003.07415
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ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems
IEEE Transactions on Sustainable Computing (TSUSC), vol. 5, no. 1, pp.1–12, January - March 2020
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A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems
Improved Knowledge Distillation via Teacher Assistant
AAAI Conference on Artificial Intelligence (AAAI), 2020
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Improved Knowledge Distillation via Teacher Assistant
Adar: Adversarial Activity Recognition in Wearables
2019 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
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Adar: Adversarial Activity Recognition in Wearables
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
IEEE Transactions on Mobile Computing (TMC)
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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems with Context-Varying Sensors
ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 24, no. 4, article 39, April 2019
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Robust Interbeat Interval and Heart Rate Variability Estimation Method from Various Morphological Features using Wearable Sensors
IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 24, no. 8, pp. 2238-2250, August 2020
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Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
The 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 19), Chicago, IL, USA
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Resource-Efficient Computing in Wearable Systems
IEEE Workshop on Smart Service Systems (SmartSys) in Conjunction with IEEE SmartComp 2019, June, 12, 2019, Washington D.C., USA
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Resource-Efficient Computing in Wearable Systems
IEEE Workshop on Smart Service Systems (SmartSys) in Conjunction with IEEE SmartComp 2019, June, 12, 2019, Washington D.C., USA
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Mindful Active Learning
The 28th International Joint Conference on Artificial Intelligence (IJCAI), August 10-16, 2019, Macao, China
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LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), January 27 - February 1, 2019, Honolulu, HI, USA
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Human-in-the-Loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data
ACM Transactions on Interactive Intelligent Systems (TiiS), Article No. 23, November 2019 (Recipient of 2019 ACM TiiS Honorable Mention)
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How Accurate Your Activity Tracker Is? A Comparative Study of Step Counts in Low-Intensity Physical Activities
Journal of Medical Internet Research (JMIR), vol. 5, no. 8, August, 2017
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Gait Speed and Survival of Older Surgical Patient with Cancer: Prediction after Machine Learning
Journal of Geriatric Oncology, vol. 10, no. 1, pp 120-125, January 2019
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ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications
The 48th International Conference on Parallel Processing (ICPP), August 5--8, 2019, Kyoto, Japan
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CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection
IEEE Sensors Journal (JSEN), vol. 19, no. 10, pp 3751–3762, May 2019
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Big vs little core for energy-efficient Hadoop computing
Journal of Parallel and Distributed Computing, vol. 129, pp. 110–124, July 2019
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Big vs little core for energy-efficient Hadoop computing
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach
ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 23, no. 5, article 67, October 2018
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Toward visual field assessment using head-worn sensing devices
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), March 4-7, 2018, Las Vegas, NV
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Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data
IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 22, no. 1, pp. 252–264, January 2018
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Predicting Adherence to Use of Remote Health Monitoring Systems in a Cohort of Patients with Chronic Heart Failure
Technology and Health Care, vol. 25, no. 3, pp. 425–433, June 2017
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Personalized Human Activity Recognition Using Convolutional Neural Networks
The 32nd AAAI Conference on Artificial Intelligence (AAAI), February 2-7, 2018, New Orleans , Louisiana, USA (Student Poster Abstract)
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New Technologies in Geriatric Oncology Care
Journal of Geriatric Oncology, vol. 9, no. 6, pp 687-–689, November 2018
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Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms
IEEE 40th International Engineering in Medicine and Biology Conference (EMBC), July 17-21, 2018, Honululu, HI, USA
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Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems
Sustainable Computing: Informatics and Systems, vol. 18, pp. 54-65, March 2018
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Energy-efficient acceleration of MapReduce applications using FPGAs
Journal of Parallel and Distributed Computing, vol. 119, pp1–17, September 2018
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Electronic Assessment of Physical Decline in Geriatric Cancer Patients
Current Oncology Reports, vol. 20, no. 3, pp.1-11, February 2018
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Digital Health for Geriatric Oncology
Journal of Clinical Oncology: Clinical Cancer Informatics (JCO CCI), June 29, 2018
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Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce
IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), April 29 - May 1, 2018, Boulder, CO, USA
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Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views
IEEE Transactions on Mobile Computing (TMC), vol. 17, no. 8, pp. 1764-1777, August 2018 (Featured Article of August 2018 Issue)
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Architectural considerations for FPGA acceleration of machine learning applications in MapReduce
International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), July 15--19, 2018, Pythagorion, Greece
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A Dynamic Programming Technique for Energy-Efficient Multicore Systems
The Ninth International Green and Sustainable Computing Conference (IGSC), October 22-24, 2019, Pittsburgh, PA, USA
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Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 18-21, 2017, Pittsburgh, PA, USA
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Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data
ACM/IEEE International Conference on Cyber Physical Systems (ICCPS), April 18-21, 2017, Pittsburgh, PA, USA
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Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Information Fusion, vol. 35, pp. 68-80, May 2017
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Mobile sensing to improve medication adherence: demo abstract
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 18-21, 2017, Pittsburgh, PA, USA
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Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications
The 36th IEEE/ACM International Conference On Computer Aided Design (ICCAD), November 13-16, 2017, Irvine, CA
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Head-mounted sensors and wearable computing for automatic tunnel vision assessment
IEEE/ACM Design, Automation and Test in Europe (DATE), March 27-31, 2017, Lausanne, Switzerland
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Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment
IEEE Transactions on Mobile Computing (TMC), vol. 16, no. 8, pp. 2159–2173, August 2017
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An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices
IEEE/ACM Design, Automation and Test in Europe (DATE), March 27-31, 2017, Lausanne, Switzerland
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Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition
IEEE/ACM Design, Automation and Test in Europe (DATE), March 27-31, 2017, Lausanne, Switzerland
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Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 18-21, 2017, Pittsburgh, PA, USA
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A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract
Wearable sensors for gait pattern examination in glaucoma patients
Microprocessors and Microsystems Special Issue on Advanced Systems in Healthcare, Wellness and Personal Assistance (ASHWPA), vol. 46, part A, pp. 67-74, October 2016
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Transfer learning algorithms for autonomous reconfiguration of wearable systems
IEEE International Conference on Big Data (BigData), December 5-8, 2016, Washington DC, USA
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SmartSock: A wearable platform for context-aware assessment of ankle edema
The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 16-20, 2016, Orlando, FL
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S2NI: A mobile platform for nutrition monitoring from spoken data
The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 16-20, 2016, Orlando, FL
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Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications
The 53rd ACM/EDAC/IEEE Design Automation Conference (DAC), June 5-9, 2016, Austin, TX
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CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors
International Conference on Computer Design (ICCD), 2016
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CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments
The 35th IEEE/ACM International Conference On Computer Aided Design (ICCAD), November 7-10, 2016, Austin, TX, USA
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An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 8-10, 2016, San Francisco, CA
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An asynchronous multi-view learning approach for activity recognition using wearables
The 38th IEEE Engineering in Medicine and Biology Society Conference (EMBC), Aug. 16-20, 2016, Orlando, FL
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A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors
IEEE Journal of Selected Topics in Signal Processing (J-STSP), vol. 10, no. 5, pp. 842-853, May 2016
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A machine learning approach for medication adherence monitoring using body-worn sensors
IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 842-845, 2016
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A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables
ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 21, no. 4, pp.1-27, 2016
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Toward robust and platform-agnostic gait analysis
12th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015), Cambridge, MA, USA
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Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema
The 7th International Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S) in Conjunction with IEEE PerCom 2015, March 23-27, 2015, St. Louis, Missouri, USA
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Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection
IEEE Transactions on Mobile Computing (TMC), 14(4), pp.800-812, 2016
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Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system
International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (PerMoby) in Conjunction with IEEE PerCom 2015, March 23-27, 2015, St. Louis, Missouri, USA
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Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization
IEEE Journal on Biomedical and Health Informatics (JBHI), vol. 19, no. 1, June 2014
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Impact of sensor misplacement on estimating metabolic equivalent of task with wearables
12th IEEE Conference on Body Sensor Networks (BSN 2015), Cambridge, MA, USA
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Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions
IEEE Internet of Things Journal, vol. 2, no. 1, pp. 84-93, February 2015
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Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring
The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 26-30, 2014, Chicago, Illinois, USA
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SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications
The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp Adjunct), September 13-17, 2014, Seattle, Washington, USA
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Power-Aware Activity Monitoring Using Distributed Wearable Sensors
IEEE Transactions on Human-Machine Systems (THMS), vol. 44, no. 4, August 2014
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Patient-centric on-body sensor localization in smart health systems
The 48th Asilomar Conference on Signals, Systems and Computers, November 2-5, 2014, Pacific Grove, CA, USA
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Near-Realistic Mobile Exergames With Wireless Wearable Sensors
IEEE Journal of Biomedical and Health Informatics (JBHI), 18(2), pp.449-456, 2013
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Designing user-specific plug-n-play into body area networks
The 4th ACM MobiHoc Workshop on Pervasive Wireless Healthcare (MobileHealth@MobiHoc), August 2014
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Cost-sensitive feature selection for on-body sensor localization
The 2nd International Workshop on Human Activity Sensing Corpus and Its Application (HASCA 2014) co-located with ACM UbiComp, September 13, 2014, Seattle, WA, USA
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Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution
ACM Transactions in Embedded Computing Systems (TECS), vol. 13, no. 1, Article 9, 23 pages, September 2013
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Remote patient monitoring: what impact can data analytics have on cost?
ACM Conference on Wireless Health (WH), November 1-3, 2013, Johns Hopkins University, Baltimore, MD, USA
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Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System
IEEE Journal of Biomedical and Health Informatics (JBHI), 17(6), pp.1023-1030, 2013
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Objective assessment of overexcited hand movements using a lightweight sensory device
IEEE International Conference on Body Sensor Networks (BSN), May 6--9, 2013 Cambridge, MA, USA
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Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors
IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), March 18-22, 2013, San Diego, CA, USA
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Context-aware signal processing in medical embedded systems: A dynamic feature selection approach
IEEE Global Conference on Signal and Information Processing (GlobalSIP), December 3-5, 2013, Austin, Texas, USA
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WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients
ACM Conference on Wireless Health (WH), October 23-25, 2012, San Diego, CA, USA
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Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems
The 7th IEEE International Symposium on Industrial Embedded Systems (SIES), June 20-22, 2012, Karlsruhe, Germany
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Generalized precursor pattern discovery for biomedical signals
The 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 28 - September 1, 2012, San Diego, CA
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Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach
International Symposium on Low Power Electronics and Design (ISLPED), July 30 - August 1, 2012, Redondo Beach, CA
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Dynamic Task Optimization in Remote Diabetes Monitoring Systems
The 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology (HISB), September 27-28, 2012, La Jolla, CA
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Dynamic self-adaptive remote health monitoring system for diabetics
The 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 28 - September 1, 2012, San Diego, CA
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Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model
ACM Transactions in Embedded Computing Systems (TECS), 11, S2, Article 46, 19 pages, August 2012
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A Mining Technique Using n-Grams and Motion Transcripts for Body Sensor Network Data Repository
Proceedings of the IEEE Special Issue on Cyber Physical Systems (Proc. IEEE), vol. 100, no. 1, pp. 107-121, August 2011
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Wireless Fetal Monitoring Device with Provisions for Multiple Births
The 8th International Conference on Body Sensor Networks (BSN), May 23-25, 2011, Dallas, TX
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Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching
The 17th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), April 11-14, 2011, Chicago, IL., USA
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Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees
IEEE Transactions on Industrial Informatics (TII), vol. 7, no. 1, pp. 66-77, February 2011
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An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching
The ACM/IEEE Second International Conference on Cyber-Physical Systems (ICCPS), April 11-14, 2011, Chicago, IL
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A wireless communication selection approach to minimize energy-per-bit for wearable computing applications
IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), June 27-29, 2011, Barcelona, Spain
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Toward power optimization for communication failure recovery in Body Sensor Networks
The 1st ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), April 12-16, 2010, Stockholm, Sweden
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Structural action recognition in body sensor networks: distributed classification based on string matching
IEEE Transactions on Information Technology in BioMedicine Special Issue on Personal Health Systems (TITB), vol. 14, no. 2, pp 425-435, March 2010
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Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing
The 7th IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), June 21-25, 2010, Boston, MA
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Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts
The 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 12-16, 2010, Stockholm, Sweden
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Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions
IEEE Journal on Selected Areas in Communications Special Issue on Simple Wireless Sensor Networking Solutions (JSAC), vol. 28, no. 7, pp. 1073-1082, September 2010
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Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts
The 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops, March 29-April 2, 2010, Mannheim, Germany
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Applications of sensing platforms with wearable computers
The 3rd International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ), June 2010, Samos, Greece
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A mining technique using n-grams and motion transcripts for body sensor network data repository
ACM Wireless Health Conference (WH), October 4-7, 2010, San Diego, CA
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A greedy buffer allocation algorithm for power-aware communication in body sensor networks
The International Conference on Hardware-Software Codesign and System Synthesis (CODES+ISSS), October 24-29, 2010, Scottsdale, AZ
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A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities
IEEE Transactions on Information Technology in BioMedicine Special Issue on Affective and Pervasive Computing for Healthcare (TITB), vol 14, no. 2, pp 198-206, March 2010
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Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf
Journal of Ambient Intelligence and Smart Environments Special Issue on Wearable Sensors (JAISE), vol. 1, no. 2, pp 173-184, April 2009
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Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
The fourth International ICST Conference on Body Area Networks (BodyNets), April 1st-3rd 2009, Los Angeles, CA, USA
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Report from HotMobile 2009
IEEE Pervasive Computing, vol. 8, no. 3, pp. 94-96, July-September, 2009 (Conference Column)
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Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks
IEEE Journal on Selected Areas in Communications Special Issue on Body Area Networks (JSAC), vol. 27, pp 58-69, January 2009
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Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks
IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), June 2009, Marina Del Rey, CA
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Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
IEEE/ACM Design, Automation and Test in Europe (DATE), April 20-24 2009, Nice, France
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An efficient placement and routing technique for fault-tolerant distributed embedded computing
ACM Transactions on Embedded Computing Systems (TECS), vol. 8, no. 4, Article 28, 26 pages, July 2009
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An automatic segmentation technique in body sensor networks based on signal energy
The Fourth International Conference on Body Area Networks (BodyNets), April 1st-3rd 2009, Los Angeles, CA
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A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors
IEEE Transactions on Information Technology in Biomedicine (TITB), 13(6), pp.1019-1030, 2009
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A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
International Conference on Body Sensor Networks (BSN), June 2009, Berkeley, CA, USA
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Locomotion Monitoring Using Body Sensor Networks
International Conference on Information Processing in Sensor Networks (IPSN), April 2008, St. Louis, MO
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Action coverage formulation for power optimization in body sensor networks
ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2008, Seoul, Korea
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A phonological expression for physical movement monitoring in body sensor networks
The Fifth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), September and October 2008, Atlanta, GA, USA
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A New Approach for Design and Verification of Transaction Level Models
IEEE International Symposium on Circuits and Systems (ISCAS), May 2007 New Orleans, USA
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Modified Pseudo LRU Replacement Algorithm
IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS), March 2006, Potsdam, Germany
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Stress Classification and Personalization: Getting the most out of the least
17th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN'21)
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Stress Classification and Personalization: Getting the most out of the least
Associations between Physiological Signals Captured using Wearable Sensors and Self-Reported Outcomes among Patients in AUD Recovery: Development and Usability Study
Journal of Medical Internet Research (JMIR), 2021.
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Associations between Physiological Signals Captured using Wearable Sensors and Self-Reported Outcomes among Patients in AUD Recovery: Development and Usability Study