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Profiling, modeling, and predicting energy harvesting for self-powered body sensor platforms.

, , , and . BSN, page 402-407. IEEE, (2016)

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Towards Better Affect Detectors: Detecting Changes Rather Than States., and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 199-203. Springer, (2018)Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis., , , , , , and . IEEE J. Biomed. Health Informatics, 22 (1): 40-46 (2018)Transform-invariant feature based functional MR image registration and neural activity modelling., , and . Int. J. Comput. Biol. Drug Des., 6 (3): 175-189 (2013)Neurophysiological Variations in Food Decision-Making within Virtual and Real Environments., , , , , , , , , and 1 other author(s). BHI, page 1-4. IEEE, (2019)Profiling, modeling, and predicting energy harvesting for self-powered body sensor platforms., , , and . BSN, page 402-407. IEEE, (2016)Eating gestures detection by tracking finger motion., , and . Wireless Health, page 1-6. IEEE, (2016)Poster Abstract: Examining Cross-Validation Strategies for Predictive Modeling of Anterior Cruciate Ligament Reinjury., , , , , , and . CHASE, page 27-28. IEEE, (2019)Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior., , , , , and . BHI, page 1-4. IEEE, (2021)Understanding behavioral dynamics of social anxiety among college students through smartphone sensors., , , , , , and . Inf. Fusion, (2019)Deepmotion: a deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis., , and . Wireless Health, page 164-171. IEEE, (2016)