Next Generation Cooperative Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network

IEEE Access

Rainer Schlosser¹  Martin Seiffert²  Jochen Schiller³  Flavio Holstein⁴ 

[1] Department of Computer Science, Technical University of Berlin, Berlin, Germany;Department of Mathematics and Computer Science, Freie Universit&x00E4;Hasso Plattner Institute, University of Potsdam, Potsdam, Germany;t Berlin, Berlin, Germany;

关键词: Body sensor networks;    distributed computing;    motion analysis;    physical activity assessment;    biomechanics;    multilevel systems;   

DOI  :  10.1109/ACCESS.2017.2749005

来源: DOAJ

【 摘 要 】

Currently available wearables are usually based on a single sensor node with integrated capabilities for classifying different activities. The next generation of cooperative wearables could be able to identify not only activities, but also to evaluate them qualitatively using the data of several sensor nodes attached to the body, to provide detailed feedback for the improvement of the execution. Especially within the application domains of sports and health-care, such immediate feedback to the execution of body movements is crucial for (re-)learning and improving motor skills. To enable such systems for a broad range of activities, generalized approaches for human motion assessment within sensor networks are required. In this paper, we present a generalized trainable activity assessment chain (AAC) for the online assessment of periodic human activity within a wireless body area network. AAC evaluates the execution of separate movements of a prior trained activity on a fine-grained quality scale. We connect qualitative assessment with human knowledge by projecting the AAC on the hierarchical decomposition of motion performed by the human body as well as establishing the assessment on a kinematic evaluation of biomechanically distinct motion fragments. We evaluate AAC in a real-world setting and show that AAC successfully delimits the movements of correctly performed activity from faulty executions and provides detailed reasons for the activity assessment.

【 授权许可】

Unknown