Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey

19 Apr 2020Florenc DemroziGraziano PravadelliAzra BihoracParisa Rashidi

In the last decade, Human Activity Recognition (HAR) has become a very important research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the advance of Deep Learning (DL) has led researchers to use HAR in various domains including health and well-being applications... (read more)

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