Combination of Flex Sensor and Electromyography for Hybrid Control Robot

Abstract

The alternative control methods of robot are very important to solved problems for people with special needs. In this research, a robot arm from the elbow to hand is designed based on human right arm. This robot robot is controlled by human left arm. The positions of flex sensors are studied to recognize the flexion-extension elbow, supination-pronation forearm, flexion-extension wrist and radial-ulnar wrist.The hand of robot has two function grasping and realeasing object. This robot has four joints and six flex sensors are attached to human left arm. Electromyography signals from face muscle contraction are used to classify grasping and releasing hand. The results show that the flex sensor accuracy is 3.54° with standard error is approximately 0.040 V. Seven operators completely tasks to take and release objects at three different locations: perpendicular to the robot, left-front and right-front of the robot. The average times to finish each task are 15.7 ssecond, 17.6 second and 17.1 second. This robot control system works in a real time function. This control method can substitute the right hand function to do taking and releasing object tasks.

Analysis of Creativity and Attitudes Caring The Environment of Junior High School Students: Study of Environmental Physics Learning Using Learning Modules

“…Students can make direct observations so that it is easy to identify and explain the phenomenon of global warming that occurs naturally. With the hope that students can understand the concept as a whole so that their insights become broad and meaningful (Rusydi, 2018).…”

Feature and muscle selection for an effective hand motion classifier based on electromyography

“…Through the evaluation, the recognition rate (accuracy) was found to be 98% [22], implying that a hybrid combination between physiological parameters and mechanical sensors could improve the performance in pattern recognition. A previous study used a flex sensor for a robotics exoskeleton based on the EMG signal [23]. This study had been performed with an assumption that the subjects were not in fatigue condition, the fatigue parameter was later outlined as a factor in affecting the EMG signal [18].…”

Twisted and coiled polymer muscle actuated soft 3D printed robotic hand with Peltier cooler for drug delivery in medical management

“…There are many instances where standard flex sensors have been used along with hand prosthetic applications to either control the bending of the prosthetic fingers [19], [20] or recognize [21], [22], [23] the gestures of hands. Also known as stretch sensors, they can be used in wearables [24] to track the bending of a finger.…”