Model and Empirical Study on Multi-tasking Learning for Human Fall Detection.
Vietnam. J. Comput. Sci., July, 2024
Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology - Lessons Learned from 10 Years of Research.
Sensors, June, 2024
An Automatic Foot and Shank IMU Synchronization Algorithm: Proof-of-concept.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Test-retest reliability of wireless inertial-sensor derived measurements of knee joint kinematics.
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Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study.
Sensors, 2021
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System.
Sensors, 2019
Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018