2025

  • A. Postlmayr, P. Cosman and S. Dey, "(LiFT) Lightweight Fitness Transformer: A language-vision model for Remote Monitoring of Physical Training" Elsevier Smart Health, Sep. 2025, https://doi.org/10.1016/j.smhl.2025.100610    Smart Health

2024

  • O. N. Tepencelik, W. Wei, M. Luo, P. Cosman, and S. Dey, "Behavioral Intervention for Adults with Autism on Distribution of Attention in Triadic Conversations: A/B-Tested Pre-Post Study,” JMIR Formative Research, vol. 8, no. 1, e55339, 2024. DOI: 10.2196/55339    JMIR Formative Research
  • O. N. Tepencelik, W. Wei, P. C. Cosman and S. Dey, "Body and Head Orientation Estimation from Low-Resolution Point Clouds in Surveillance Settings,'' IEEE Access, vol. 12, pp. 141460-141475, 2024, DOI: 10.1109/ACCESS.2024.3469197.    PDF    IEEE Xplore
  • A. Postlmayr, B. Garg, P. Cosman and S. Dey, "PersonalPT: One-shot approach for skeletal-based repetitive action counting for physical therapy" Elsevier Smart Health,  vol. 34, Dec. 2024, https://doi.org/10.1016/j.smhl.2024.100516    Smart Health
  • J. Leitner, P. -H. Chiang, P. Agnihotri and S. Dey, "The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial," in JMIR Cardio, 2024.    JMIR Cardio

2023

  • J. Leitner, A. Behnke, P. -H. Chiang, M. Ritter, M. Millen and S. Dey, "Classification of Patient Recovery From COVID-19 Symptoms Using Consumer Wearables and Machine Learning," in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 3, pp. 1271-1282, March 2023, doi: 10.1109/JBHI.2023.3239366.    PDF    IEEE Xplore
  • A. Postlmayr, B. Garg, P. Cosman, and S. Dey, "Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises"  2023 Connected Health: Applications, Systems and Engineering Technologies Conference (CHASE). IEEE, 2023    PDF

2022

  • J. Leitner, P. -H. Chiang and S. Dey, "Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach," in IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 1, pp. 218-228, Jan. 2022, doi: 10.1109/JBHI.2021.3085526.    PDF    IEEE Xplore

2021

  • O. N. Tepencelik, W. Wei, L. Chukoskie, P. C. Cosman, S. Dey, "Body and Head Orientation Estimation with Privacy Preserving LiDAR Sensors", 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021.    PDF
  • Rutvik V. Shah, Gillian Grennan, Mariam Zafar-Khan, Fahad Alim, Sujit Dey, Dhakshin Ramanathan, Jyoti Mishra, "Personalized machine learning of depressed mood using wearables." Nature Translational Psychiatry 11, Article number: 338, 2021    Nature.com
  • S. Das, A. Miki, C. Blanchard, E. Sazonov, C. Gilhooly, S. Dey, C. Wolk, C. Khoo, J. Hill, R. Shook, “Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints”, Advances in Nutrition,  Oxford University Press on behalf of the American Society for Nutrition    Oxford Academic
  • P. -H. Chiang, M. Wong and S. Dey, "Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure," in IEEE Journal of Translational Engineering in Health and Medicine, vol. 9, pp. 1-13, 2021, Art no. 2700513, doi: 10.1109/JTEHM.2021.3098173    IEEE Xplore

2020

  • W. Wei, C. McElroy, S. Dey, "Using Sensors and Deep Learning to Enable On-Demand Balance Evaluation for Effective Physical Therapy," IEEE Access, vol. 8, pp. 99889-99899, May 2020.    IEEE Xplore

2019

  • W. Wei, and S. Dey, "Center of Mass Estimation for Balance Evaluation Using Convolutional Neural Networks," Proceedings of the Seventh IEEE International Conference on Healthcare Informatics, Xi'an, China, June 2019, pp. 1-7.    PDF    IEEE Xplore
  • J. Leitner, P. -H. Chiang and S. Dey, "Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition," 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Bogota, Colombia, 2019, pp. 1-6, doi: 10.1109/HealthCom46333.2019.9009587.    pdf    IEEE Xplore
  • W. Wei, C. McElroy, S. Dey, "Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation," IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 27, no. 9, pp. 1824-1835, September 2019.     PDF    IEEE Xplore

2018

  • W. Wei, C. McElroy, S. Dey, "Human Action Understanding and Movement Error Identification for the Treatment of Patients with Parkinson’s Disease,"  Proceedings of Sixth IEEE International Conference on Healthcare Informatics, New York City, June 2018, pp. 180-190.    PDF

2017

  • W. Wei, Y. Lu, E. Rhoden, S. Dey, "User Performance Evaluation and Real-Time Guidance in Cloud-Based Physical Therapy Monitoring and Guidance System," Springer Multimedia Tools and Applications, November 2017, pp. 1-31.    PDF    Springer Link

2015

  • D. Shen, Y. Lu, S. Dey, "Motion Data Alignment and Real-Time Guidance in Avatar Based Physical Therapy Training System,"  Proceedings of Seventeenth IEEE International Conference on E-health Networking, Application & Services , Boston, MA, October 2015, pp. 238-244.    PDF
  • W. Wei, Y. Lu, C. Printz, S. Dey, "Motion Data Alignment and Real-Time Guidance in Cloud-Based Virtual Training System,"  Proceedings of ACM conference on Wireless Health, Bethesda, MD, October 2015, p. 13.    PDF    ACM Digital Library