Ubiquitous finger motion tracking enables a number of exciting applications in augmented
reality, sports analytics, rehabilitation-healthcare, haptics etc. This paper presents …

mmWave signals form a critical component of 5G and next-generation wireless networks,
which are also being increasingly considered for sensing the environment around us to …

Ubiquitous finger motion tracking enables a number of exciting applications in augmented
reality, sports analytics, rehabilitation-healthcare, haptics, etc. This article presents …

Background Advanced prostheses can restore function and improve quality of life for
individuals with amputations. Unfortunately, most commercial control strategies do not fully …

This paper describes a portable, prosthetic control system and the first at-home use of a
multi-degree-of-freedom, proportionally controlled bionic arm. The system uses a modified …

The dexterity of conventional myoelectric prostheses is limited in part by the small datasets
used to train the control algorithms. Variations in surface electrode positioning make it …

Traditional methods of creating prosthetics are often expensive, time-consuming, and lack
personalization. However, 3D printing technology has emerged as a transformative force …

Electromyographic (EMG) control relies on supervised-learning algorithms that correlate
EMG to motor intent. The quality of the training dataset is critical to the runtime performance …

Multiarticulate bionic arms are now capable of mimicking the endogenous movements of the
human hand. 3D-printing has reduced the cost of prosthetic hands themselves, but there is …

Intuitive regression control of prostheses relies on training algorithms to correlate biological
recordings to motor intent. The quality of the training dataset is critical to run-time regression …