The integration of Micro Electronic Mechanical Systems (MEMS) sensor technology in smartphones has greatly improved the capability for Human Activity Recognition (HAR). By utilizing Machine Learning (ML) techniques and data from these sensors. various human motion activities can be classified. This study performed experiments and compiled a large dataset of nine daily activities. https://www.divivoyance.com/product-category/ash-catcher/
Artificial Intelligence Based Approach for Classification of Human Activities Using MEMS Sensors Data
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