Detection and Validation of Macro-Activities in Human Inertial Signals Using Graph Link Prediction
Christoph Wieland,
Victor Pankratius
Abstract:With the continuous development of new wearable devices, sensor-based human activity recognition is enjoying enormous popularity in research and industry. The signals from inertial sensors allow for the detection, classification, and analysis of human activities such as jogging, cycling, or swimming. However, human activity recognition is often limited to basic activities that occur in short, predetermined periods of time (sliding windows). Complex macro-activities, such as multi-step sports exercises or multi… Show more
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