International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Semi-Automated Control System for Reaching Movements in EMG Shoulder R. SIVARAND1, B.SANJAY2, S. ASHARAF HAMEED3, D. KARTHIKEYAN 1(COORDINATOR)
(Sivarard eee @dvmqrdu.ac.im), 2(181031101032) BMI (sanjayrock12172@gmail.com), EEE(hameedashraf143@gmail.com),4 (181091101026) EEE (psycactive555@gmail.com) ----------------------------------------------------------------------***----------------------------------------------------------------------Therefore, both the hardware and control methods of an Abstract: To quickly finish a work while minimising the 3(181091101002)
EMG-SD prosthesis face numerous challenges.
user's operational failure, a sway system for electromy graphic shoulder disarticulation (EMG-SD) restoration was developed. Methods: In the motion design of association EMG-SD restorative, machine-controlled victimisation collected visual data using a mixed reality device. The user's electromyogram was used to detect the linked object to be grabbed and to carry out the motion, giving the system voluntary control and making it semiautomatic. To match the performance of the conventional system when it was solely employed to handle the user's visual feedback, two analytical tests were conducted. The proposed system will achieve reaching movements more quickly and precisely than a traditional method. With a discount within the operational failure of association EMG SD restorative user, the planned system achieves a high task performance.
The well-known EMG-SD prostheses, Luke Arm [3] and Proto2 [4], developed by DARPA, allow for EMG-based manipulations of the arm with many degrees of freedom, which requires targeted muscle reinnervation (TMR) surgery [71-11]. TMR surgery is a procedure that reconnects the peripheral nerve at an amputation stump to the remaining muscles of the trunk. Because the EMG information related to the arm and hand can be measured at the trunk of the body, the arm movements of an EMG SD prosthesis can be controlled by a pattern recognitionbased control method [12] [17]. However, the need for surgery and the time required for postoperative rehabilitation may place a heavy burden on EMG-SD prosthesis users [18], [19].
Statement of Impact: In comparison to a traditional system, the recommended semi-automated control system reduced the time required for a reaching movement and increased the number of successful reach-to-grasp procedures .
I INTRODUCTION A shoulder disarticulation prosthesis is used to reconstruct the function and appearance of the arm in people who have lost an upper limb, particularly a shoulder, owing to an accident or congenital problem. Because a bodypowered shoulder disar ticulation prosthesis requires alternative physical movements of the user, an electric shoulder disarticulation prosthesis driven by actuators is an area of focus [1]. Among them, an elec- tromyographic shoulder disarticulation (EMG-SD) prosthesis, which uses the user's mycelectricity as a control input, can be operated intuitively using biological signals [2]-[6]. Compared with an EMG prosthesis for forearm amputees, an EMG-SD prosthesis has many movable body parts, that is, many degrees of freedom (DoFs) in terms of control.
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