Publication Type : Conference Paper
Publisher : Springer
Source : Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore
Url : https://link.springer.com/chapter/10.1007/978-981-10-8575-8_24
Campus : Chennai
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : The role of the upper limb in human life is not limited to physical or functional movements but is accompanied with purposes like gestures, communication, and sensation. Many people lose their limb during an accident in the work place or complexity arising out of diseases or infections arising after operations due to which they are unable to perform the daily actions using hands. A healthy brain receives the signals from its body and generates responses to it. Here, a method is devised to detect which part of the upper limb is about to move, and hence, the desired output could be used to control external devices like a robotic arm and for the purpose of neural prostheses.
Cite this Research Publication : Tummala N., Venkatasubramanian K., Umamaheswari V. (2018) Embedded System for Classification of Upper Limb Movement During Action Using EEG. In: Thalmann D., Subhashini N., Mohanaprasad K., Murugan M. (eds) Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore