A review on electromyography decoding and pattern recognition for human-machine interaction
This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …
signals and its applications. The EMG technology is introduced and the most relevant …
Recent trends and challenges of surface electromyography in prosthetic applications
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …
Worker activity recognition in smart manufacturing using imu and semg signals with convolutional neural networks
In a smart manufacturing system involving workers, recognition of the worker's activity can
be used for quantification and evaluation of the worker's performance, as well as to provide …
be used for quantification and evaluation of the worker's performance, as well as to provide …
Multi-user immersive environment for excavator teleoperation in construction
Excavation on jobsites is a collaborative effort, with a spotter serving as an extra set of eyes
for the operator to ensure safety. However, current training methods using simulators are …
for the operator to ensure safety. However, current training methods using simulators are …
Motor function evaluation of hemiplegic upper-extremities using data fusion from wearable inertial and surface EMG sensors
Quantitative evaluation of motor function is of great demand for monitoring clinical outcome
of applied interventions and further guiding the establishment of therapeutic protocol. This …
of applied interventions and further guiding the establishment of therapeutic protocol. This …
Multi-modal recognition of worker activity for human-centered intelligent manufacturing
This study aims at sensing and understanding the worker's activity in a human-centered
intelligent manufacturing system. We propose a novel multi-modal approach for worker …
intelligent manufacturing system. We propose a novel multi-modal approach for worker …
WMNN: Wearables-based multi-column neural network for human activity recognition
In recent years, human activity recognition (HAR) technologies in e-health have triggered
broad interest. In literature, mainstream works focus on the body's spatial information (ie …
broad interest. In literature, mainstream works focus on the body's spatial information (ie …
[HTML][HTML] A Review on Assisted Living Using Wearable Devices
Forecasts about the aging trend of the world population agree on identifying increased life
expectancy as a serious risk factor for the financial sustainability of social healthcare …
expectancy as a serious risk factor for the financial sustainability of social healthcare …
A machine-learning method isolating changes in wrist kinematics that identify age-related changes in arm movement
Normal aging often results in an increase in physiological tremors and slowing of the
movement of the hands, which can impair daily activities and quality of life. This study, using …
movement of the hands, which can impair daily activities and quality of life. This study, using …
sEMG and IMU Data-based Hand Gesture Recognition Method using Multi-stream CNN with a Fine-tuning Transfer Framework
G Li, B Wan, K Su, J Huo, C Jiang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Interfaces based on surface electromyography (sEMG) and inertial measurement units
(IMUs) enable users to interact with computers in a natural and intuitive way through hand …
(IMUs) enable users to interact with computers in a natural and intuitive way through hand …