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pro vyhledávání: '"Danlin Jiang"'
Publikováno v:
Sensors, Vol 24, Iss 3, p 1014 (2024)
Traditional systems for indoor pressure sensing and human activity recognition (HAR) rely on costly, high-resolution mats and computationally intensive neural network-based (NN-based) models that are prone to noise. In contrast, we design a cost-effe
Externí odkaz:
https://doaj.org/article/a171a9c6150944c49fc79b9d4af60217
