DELLA-LIBERA, Vincent; LLARIA, Alvaro; TERRASSON, Guillaume; CUREA, Octavian

doi:10.1109/ICPS48405.2020.9274718

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DELLA-LIBERA, Vincent
ESTIA INSTITUTE OF TECHNOLOGY

LLARIA, Alvaro

ESTIA INSTITUTE OF TECHNOLOGY

TERRASSON, Guillaume

ESTIA INSTITUTE OF TECHNOLOGY

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Proceedings of the 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), 3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2020-06-10, Tampere. 2020p. 344-349

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Cyber-Physical Systems (CPS) are more and more present in many domains such as Industry 4.0, Smart Farming and Smart Healthcare Systems, among others, mainly due to the advantages offered by the combination of embedded electronics and data processing methods, inherent to CPS. An application field for which the characteristics of CPS are well adapted is the animal or human activity recognition, that can be useful to detect health troubles of the individuals under study. In this frame, this paper evaluates the adequation of different combinations of inertial sensors, together with an Artificial Neural Network based algorithm, to recognize basic human motion. The obtained experimental results are analyzed to corroborate if devices embedding different sensors, like Inertial Measurement Units, offer better performances than accelerometers when recognizing locomotion movements.< Réduire

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Cyber-Physical Systems

Wearable inertial sensors

Inertial measurement unit

Human activity recognition

Artificial neural network

Smart Healthcare

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Wearable inertial sensors to recognize basic human motion: What technology for what activity?

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