key: Journal
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WearMoCap: Multimodal Pose Tracking for Ubiquitous Robot Control Using a Smartwatch
We present WearMoCap, an open-source library to track the human pose from smartwatch sensor data and leveraging pose predictions for ubiquitous robot control. WearMoCap operates in three modes: We evaluate all modes on large-scale datasets consisting of recordings from up to 8 human subjects using a range of consumer-grade devices. Further, we discuss real-robot applications…
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A Hydraulic Model Outperforms Work-Balance Models for Predicting Recovery Kinetics From Intermittent Exercise
Data Science advances in sports commonly involve “big data”, i.e., large sport-related data sets. However, such big data sets are not always available, necessitating specialized models that apply to relatively few observations. One important area of sport-science research that features small data sets is the study of recovery from exercise. In this area, models are…