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A Multi-sensor armband based on muscle and motion measurements

Cannan, J and Hu, H (2012) A Multi-sensor armband based on muscle and motion measurements. In: UNSPECIFIED, ? - ?.

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This paper presents two simple approaches for fusing together motion and muscle (EMG) sensors to enhance control. The first approach fuses Gyro and EMG sensors to provide relative control, while the second approach fuses EMG, Accelerometer and Magnetometer for absolute control. A wearable prototype armband was developed which incorporates all the sensors. The armband enables any user with some level of yaw and pitch arm movements, as well as arm muscle voluntary contraction, to control an electrical device like a computer, a robotic arm, or a mobile phone. Simple data calculation from the motion sensors outputted pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. The sensor fusion aims to create intuitive control, while not overcomplicating the design process. The interface was connected to a robotic arm and compared against other classical industrial control approaches. © 2012 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 19 Jan 2015 10:14
Last Modified: 23 Jan 2019 00:18

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