Results 31 to 40 of about 39,692 (260)
Surface electromyographic control of a novel phonemic interface for speech synthesis [PDF]
, 2016 Many individuals with minimal movement capabilities use AAC to communicate. These individuals require both an interface with which to construct a message (e.g., a grid of letters) and an input modality with which to select targets.
Cler, Meredith J. +4 more
core +1 more source
Improved Multi-Stream Convolutional Block Attention Module for sEMG-Based Gesture Recognition
Frontiers in Bioengineering and Biotechnology, 2022 As a key technology for the non-invasive human-machine interface that has received much attention in the industry and academia, surface EMG (sEMG) signals display great potential and advantages in the field of human-machine collaboration.
Shudi Wang +10 more
semanticscholar +1 more source
Stand-alone wearable system for ubiquitous real-time monitoring of muscle activation potentials [PDF]
, 2018 Wearable technology is attracting most attention in healthcare for the acquisition of physiological signals. We propose a stand-alone wearable surface ElectroMyoGraphy (sEMG) system for monitoring the muscle activity in real time.
Bianchini, E. +6 more
core +5 more sources
International Journal of Occupational and Environment Safety, 2020 Research on the use of surface electromyography (sEMG) for analyzing the effects of Manual Therapy (MT) seems to have very dispersed intentions. The development of data collection protocols using sEMG might not be stable for conducting clinical studies ...
Rui Santiago +3 more
doaj +1 more source
Wearable sensors system for an improved analysis of freezing of gait in Parkinson's disease using electromyography and inertial signals [PDF]
, 2019 We propose a wearable sensor system for automatic, continuous and ubiquitous analysis of Freezing of Gait (FOG), in patients affected by Parkinson's disease.
Gumiero, Alessandro +5 more
core +1 more source
SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions
IEEE transactions on neural systems and rehabilitation engineering, 2022 In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in non-ideal conditions ...
Bo Zhu +4 more
semanticscholar +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Accurate human motion estimation is crucial for effective and safe human-robot interaction when using robotic devices for rehabilitation or performance enhancement.
Song Zhang +4 more
doaj +1 more source
Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics
Applied Sciences, 2020 Pattern unlock is a popular screen unlock scheme that protects the sensitive data and information stored in mobile devices from unauthorized access. However, it is also susceptible to various attacks, including guessing attacks, shoulder surfing attacks,
Qingqing Li, Penghui Dong, Jun Zheng
doaj +1 more source
Biomedical Human Kinetics, 2017 Study aim: Improvement of the upper extremities’ performance is one of the key aims in the rehabilitation process. In order to achieve high effectiveness of this process the amount of functional improvement achieved by a patient during the therapy needs ...
Syczewska Małgorzata +3 more
doaj +1 more source
Estimation of muscular forces from SSA smoothed sEMG signals calibrated by inverse dynamics-based physiological static optimization [PDF]
, 2016 The estimation of muscular forces is useful in several areas such as biomedical or rehabilitation engineering. As muscular forces cannot be measured in vivo non-invasively they must be estimated by using indirect measurements such as surface ...
Alonso Sánchez, Francisco Javier +4 more
core +1 more source