Mikhail Kuznetsov

Bio: Mikhail Kuznetsov is an academic researcher from Boston University. The author has contributed to research in topics: Signal processing & Filter (signal processing). The author has an hindex of 2, co-authored 2 publications receiving 875 citations.

Materials and Optimized Designs for Human‐Machine Interfaces Via Epidermal Electronics

Abstract: Thin, soft, and elastic electronics with physical properties well matched to the epidermis can be conformally and robustly integrated with the skin. Materials and optimized designs for such devices are presented for surface electromyography (sEMG). The findings enable sEMG from wide ranging areas of the body. The measurements have quality sufficient for advanced forms of human-machine interface.

A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors.

Abstract: A sign language recognition system translates signs performed by deaf individuals into text/speech in real time. Inertial measurement unit and surface electromyography (sEMG) are both useful modalities to detect hand/arm gestures. They are able to capture signs and the fusion of these two complementary sensor modalities will enhance system performance. In this paper, a wearable system for recognizing American Sign Language (ASL) in real time is proposed, fusing information from an inertial sensor and sEMG sensors. An information gain-based feature selection scheme is used to select the best subset of features from a broad range of well-established features. Four popular classification algorithms are evaluated for 80 commonly used ASL signs on four subjects. The experimental results show 96.16% and 85.24% average accuracies for intra-subject and intra-subject cross session evaluation, respectively, with the selected feature subset and a support vector machine classifier. The significance of adding sEMG for ASL recognition is explored and the best channel of sEMG is highlighted.

Roller-massager application to the hamstrings increases sit-and-reach range of motion within five to ten seconds without performance impairments.

Abstract: Background: Foam rollers are used to mimic myofascial release techniques and have been used by therapists, athletes, and the general public alike to increase range of motion (ROM) and alleviate pressure points. The roller‐massager was designed to serve a similar purpose but is a more portable device that uses the upper body rather than body mass to provide the rolling force.