G. De Luca

TL;DR: The findings support the feasibility of a hybrid sEMG and ACC wearable sensor system for automatic recognition of motor tasks used to assess functional independence in patients with stroke.

TL;DR: It is found that contouring the detection surface and adding a more adhesive double-sided tape were effective in increasing the forces needed to disrupt the electrical contact between the electrodes and the skin for both dry skin and wet skin conditions.

TL;DR: An ability-based method for personalized keyboard generation, wherein an individual’s own movement and human–computer interaction data are used to automatically compute a personalized virtual keyboard layout is introduced, resulting in significantly increased communication rates using the personalized keyboard.

Abstract: • 3 skin-electrode interfaces tested: “standard” (electrode applied directly to skin), “liquid surfactant” (applied with ionic soap film on electrode contacts), and “gel strip” (applied with hydro-gel strips on electrode contacts). Sweat Test for Electro-mechanical Stability of the EMG Electrode-skin Interface G. N. De Luca1, A. Johansson1, S.H. Roy2, MS. Cheng2, L. D. Gilmore2, P. Bergman1, C. J. De Luca1 1Delsys, Inc., P.O. Box 15734, Boston, MA, USA 2NeuroMuscular Research Center, Boston University, Boston, MA, USA

TL;DR: This study presents the evaluation of ability-based methods extended to keyboard generation for alternative communication in people with dexterity impairments due to motor disabilities and highlights key observations relating to the heterogeneity of the manifestation of motor disabilities, perceived importance of communication technology, and quantitative improvements in communication performance.