Wireless sensing human activity recognition with recurrent neural network using Raspberry Pi which has been approved by faculty

Ng, Bee Qi (2022) Wireless sensing human activity recognition with recurrent neural network using Raspberry Pi which has been approved by faculty. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The advancement and availability of technology have been employed to improve our daily life especially with sensing system. Sensing system are widely used in many fields for the purpose of diagnostics and monitoring. One of the fields that used are in smart home health monitoring which the system will recognize the human activity. Moreover, most of the human activity recognition (HAR) system are mainly explored to intrusive methods such as video based and wearables sensor. These HAR may offer detailed data but the cost higher with some limitation like privacy. Hence, this project is planned to develop a wireless sensing system for human activity to solve the limitation with embedded board Raspberry Pi 4. Deep learning algorithm will be used in training models, analysis the collected data and predict the human activity through the MATLAB applications.

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