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