83 citations · 83 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Bias in Surface Electromyography Features across a Demographically Diverse Cohort
Aditi Agrawal, Celine John Philip, Giancarlo K. Sagastume +5
Neuromotor decoding from upper-limb electromyography (sEMG) can enhance human-machine interfaces and offer a more natural means of controlling prosthetic limbs, virtual reality, an…
cs.RO2018★ 83 cited
Proprioceptive Sonomyographic Control: A novel method of intuitive proportional control of multiple degrees of freedom for upper-extremity amputees
Ananya S. Dhawan, Biswarup Mukherjee, Shriniwas Patwardhan +6
Technological advances in multi-articulated prosthetic hands have outpaced the methods available to amputees to intuitively control these devices. Amputees often cite difficulty of…