A customized 1D-CNN approach for sensor-based human activity recognition

Sensor-based human activity recognition (HAR) plays a major role in healthcare and security applications. The significance of this study is to understand the state-of-art of techniques for recognizing the activities of humans based on physiological signals acquired by a body-worn sensors. Accurate r...

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Vydáno v:	International Journal of Advanced Technology and Engineering Exploration Ročník 9; číslo 87; s. 216
Hlavní autoři:	Ankalaki, Shilpa, Thippeswamy, M N
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bhopal Accent Social and Welfare Society 01.02.2022
Témata:	Accuracy Algorithms Artificial neural networks Deep learning Human activity recognition Human influences Kernel functions Machine learning Parameters Principal components analysis Sensors Support vector machines
ISSN:	2394-5443, 2394-7454
On-line přístup:	Získat plný text
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