Development of a myoelectric detection circuit with IoT applications for user motion intentions

Lee, Leong Jin (2020) Development of a myoelectric detection circuit with IoT applications for user motion intentions. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In this research, the development of myoelectric muscle sensor with IoT technology for continuous prediction of user motion intention is explored. The myoelectric sensor is designed to measure the EMG signals extracted from the forearm muscles due to the hand movement/grasping at different wrist angle, that is then combined with mechanical sensor modalities (accelerometer and hand dynamometer) for continuous movement predictions to ensure simultaneous movements can be realized. The circuit is designed using simulation software and constructed before analyzed by conducting several set of data collection. After the proof of concept is completed, the sensor is interfaced with IoT technology so that the data can be wirelessly acquired and stored in the cloud where it can be retrieved for rehabilitation assessment. The proposed research contributes towards the enhancement of control strategies to ensure simultaneous movements with proportional articulation that includes user motion intention can be realised to control the exoskeleton hand. It is towards the aim to provide better human-machine interaction for the hand impairment survivors in regaining their hand strength and functionality, and improve their quality of life.

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