DocumentCode :
1836827
Title :
A Multi-sensor armband based on muscle and motion measurements
Author :
Cannan, James ; Huosheng Hu
Author_Institution :
Sch. of Comput. Sci. & Electr. Eng., Univ. of Essex, Colchester, UK
fYear :
2012
fDate :
11-14 Dec. 2012
Firstpage :
1098
Lastpage :
1103
Abstract :
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.
Keywords :
dexterous manipulators; electromyography; industrial robots; motion measurement; telerobotics; EMG sensors; Gyro sensors; absolute control; accelerometer; arm muscle voluntary contraction; classical industrial control approaches; data calculation; electrical device; magnetometer; motion measurements; motion sensors; multisensor armband; muscle measurements; muscle sensors; pitch arm movements; robotic arm; wearable prototype armband; yaw arm movements; Accelerometer; Electromyography(EMG); Human-Machine Interface (HMI); Magnetometer; Teleoperation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
Type :
conf
DOI :
10.1109/ROBIO.2012.6491116
Filename :
6491116
Link To Document :
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