A Smart Chair Sitting Posture Recognition System Using Flex Sensors and FPGA Implemented Artificial Neural Network

Sitting is the most common status of modern human beings. Some sitting postures may bring health issues. To prevent the harm from bad sitting postures, a local sitting posture recognition system is desired with low power consumption and low computing overhead. The system should also provide good use...

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Veröffentlicht in:	IEEE sensors journal 2020-07, Vol.20 (14), p.8007-8016
Hauptverfasser:	Hu, Qisong, Tang, Xiaochen, Tang, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analog to digital converters artificial neural network Artificial neural networks Field programmable gate arrays flex sensors Floating point arithmetic Intelligent sensors Learning theory Machine learning Neural networks Pain Posture Power consumption Power management real-time machine learning Recognition Resistance Sensor systems Sensors sitting posture recognition Smart chair
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