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Preparing Smart Environments for Life in the Wild: Feature-space and Multi-view Heterogeneous Transfer Learning
With the ever-increasing abundance of sensing and computing devices embedded into our environments we have the opportunity to create personalized activity recognition ecosystems. Two key challenges must first be overcome, ...
DYNAMIC ADAPTATION OF RECOGNITION ALGORITHMS ON WEARABLES WITH MINIMAL HUMAN SUPERVISION
Wearable sensors utilize machine learning algorithms to infer important events such as behavioral routine and health status of their end-users from time-series sensor data. A major obstacle in the large-scale utilization ...
REAL-TIME DETECTION OF MULTI-SCALE CHANGES IN SMART HOMES
Change Point Detection (CPD) is the problem of discovering time points at which the behavior of a time series changes abruptly. Such abrupt changes may represent transitions that occur between states. Tracking these changes ...