Random forest-based recognition of isolated sign language subwords using data from accelerometers and surface electromyographic sensors

R Su, X Chen, S Cao, X Zhang - Sensors, 2016 - mdpi.com
Sign language recognition (SLR) has been widely used for communication amongst the
hearing-impaired and non-verbal community. This paper proposes an accurate and robust …

Accurate EMG onset detection in pathological, weak and noisy myoelectric signals

D Yang, H Zhang, Y Gu, H Liu - Biomedical Signal Processing and Control, 2017 - Elsevier
In this paper, we propose an alternative onset detection method dealing with pathological,
weak and noisy myoelectric signals. We evaluate our method on simulated, offline EMG …

A comparison of upper-limb motion pattern recognition using EMG signals during dynamic and isometric muscle contractions

AC Tsai, TH Hsieh, JJ Luh, TT Lin - Biomedical Signal Processing and …, 2014 - Elsevier
Multichannel electromyography (EMG) signals are one of the common methods used in
human motion pattern recognition. In exoskeleton robot control, EMG signals are measured …

Feature-based evaluation of a wearable surface EMG sensor against laboratory standard EMG during force-varying and fatiguing contractions

EP Doheny, C Goulding, MW Flood… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Recent advances in wearable sensors enable recording of electromyography (EMG) outside
the laboratory for extended periods of time. However, the properties of wearable EMG …

A novel phonology-and radical-coded Chinese sign language recognition framework using accelerometer and surface electromyography sensors

J Cheng, X Chen, A Liu, H Peng - Sensors, 2015 - mdpi.com
Sign language recognition (SLR) is an important communication tool between the deaf and
the external world. It is highly necessary to develop a worldwide continuous and large …

[HTML][HTML] Timing of rectus femoris and biceps femoris muscle activities in both legs at maximal running speed

G Kakehata, Y Goto, S Iso… - Medicine and Science in …, 2021 - ncbi.nlm.nih.gov
Purpose The purpose of this study was to investigate the relationship between
spatiotemporal variables of running and onset/offset timing of rectus femoris (RF) and biceps …

Machine learning for detection of muscular activity from surface EMG signals

F Di Nardo, A Nocera, A Cucchiarelli, S Fioretti… - Sensors, 2022 - mdpi.com
Background: Muscular-activity timing is useful information that is extractable from surface
EMG signals (sEMG). However, a reference method is not available yet. The aim of this …

A Study on the Relationship between Postural Control and Pain‐Related Clinical Outcomes in Patients with Chronic Nonspecific Low Back Pain

Q Yu, Y Huo, M Chen, Z Zhang, Z Li… - Pain Research and …, 2021 - Wiley Online Library
Objectives. To explore the relationship between postural control and pain‐related clinical
outcomes in patients with chronic nonspecific low back pain (cNLBP). Methods. Participants …

Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

MS Tenan, AJ Tweedell, CA Haynes - PLoS One, 2017 - journals.plos.org
The timing of muscle activity is a commonly applied analytic method to understand how the
nervous system controls movement. This study systematically evaluates six classes of …

Estimates of muscle function in human gait depend on how foot-ground contact is modelled

TW Dorn, YC Lin, MG Pandy - Computer methods in biomechanics …, 2012 - Taylor & Francis
Computational analyses of leg-muscle function in human locomotion commonly assume that
contact between the foot and the ground occurs at discrete points on the sole of the foot …