Application of Forearm FMG signals in Closed Loop Modality-matched Sensory Feedback Stimulation
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Journal of Bionic Engineering http://www.springer.com/journal/42235
Application of Forearm FMG signals in Closed Loop Modality-matched Sensory Feedback Stimulation Jing Wei Tan, Yimesker Yihun∗ Department of Mechanical Engineering, Wichita State University, Wichita, Kansas 67260, USA
Abstract This study is aimed at exploring a technology that can use the human physiological information, such as Force Myography (FMG) signals to provide sensory feedback to prosthetic hand users. This is based on the principle that with the intent to move the prosthetic hand, the existing limbs in the arm recruit specific group of muscles. These muscles react with a change in the cross-sectional area; piezoelectric sensors placed on these muscles will generate a voltage (FMG signals), in response to the change in muscle volume. The correlation between the amplitude of the FMG signals and intensity of pressure on fingertips during grasping is then computed and a dynamic relation (model) is established through system identification in MATLAB. The estimated models generated a fitting accuracy of more than 80%. The model is then programmed into the Arduino microcontroller, so that a real-time and proportional force feedback is channeled to amputees through a micro actuator. Obtaining such percentages of accuracy in sensory feedback without relying on touch sensors on the prosthetic hand that could be affected by mechanical wear and other interaction factors is promising. Applying advanced signal processing and classification techniques may also refine the findings to better capture and correlate the force variations with the sensory feedback. Keywords: FMG, sensory feedback, prosthetic hand, bionic robot, modality-matched, sensory stimulation Copyright © Jilin University 2020.
1 Introduction The number of amputees in the United States was expected to increase by 185,000 persons each year[1]. Amputation can highly impact the amputees’ quality of lives. After limb amputation, performing used-to-be simple tasks becomes challenging and time consuming. Even with the assistance of prosthetic limbs, amputees are still unable to perform simple tasks with ease; this is partly due to the lack of touch sensations/feedback[2]. Sensory feedback is a critical component that makes it possible for human extremities to perform many daily activities. Without feedback, simple tasks, such as holding a cup and picking up a piece of food with the needed amount of grasping force become difficult. Currently, researches in the area of bionic hands and prosthetic limbs are mainly focusing on precise control system design and sensory feedback[3–5]. Most of the current myoelectric prostheses are open-loop devices with no feedback to the users[6,7]. The amputees are unable to feel through their artificial limbs. To compensate for the lack of sensory information and *Corresponding author: Yimesker Yihun E-mail: [email protected]
manipulate their prosthetic limbs, users depend on their vision. This prevents the use of the myoelectric prostheses in a natural
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