Journal: Scientific Reports
Article Title: Multichannel haptic feedback unlocks prosthetic hand dexterity
doi: 10.1038/s41598-022-04953-1
Figure Lengend Snippet: System Configuration: all the system components are interacting with each other through ROS, Python, and MATLAB/Simulink. ( A ) Two EMG surface electrodes were placed on the forearm of the human subject to record forearm muscle activities. The soft robotic armband was located on the upper arm. ( B ) EMG signal processing (Efferent Pathways) was done in Simulink to control the ( C ) Dexterous Shadow Hand and UR10 Robot arm that were interfaced via ( D ) ROS. ( E ) The soft robotic armband had a pump, valve, and pressure sensor for each of the three soft actuators. Vibrotactile actuators were also co-located with the soft actuators to give bimodal multichannel haptic feedback for both objects grasped simultaneously (Afferent Pathways).
Article Snippet: The analog EMG signals (Fig. A) were digitized by another Teensy 3.6 board and were interfaced with MATLAB/Simulink through the Robot Operating System (ROS) toolbox (MathWorks, Inc., Natick, USA).
Techniques: Control