A review of affective computing research based on function-component-representation framework
Affective computing (AC), a field that bridges the gap between human affect and
computational technology, has witnessed remarkable technical advancement. However …
computational technology, has witnessed remarkable technical advancement. However …
Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration
Textile-based surface electromyography (sEMG) electrodes have emerged as a prominent
tool in muscle fatigue assessment, marking a significant shift toward innovative, noninvasive …
tool in muscle fatigue assessment, marking a significant shift toward innovative, noninvasive …
IoT-based remote facial expression monitoring system with sEMG signal
Biopotentials including Electrocardiography (ECG), Electromyography (EMG) and
Electroencephalography (EEG) measure the activity of heart, muscles and brain …
Electroencephalography (EEG) measure the activity of heart, muscles and brain …
Portable multipurpose bio-signal acquisition and wireless streaming device for wearables
Physical indicators are directly related with health and fitness of human body. By employing
real-time e-health monitoring systems for acquiring, and analyzing bio-signals by …
real-time e-health monitoring systems for acquiring, and analyzing bio-signals by …
Facial Motion Capture System Based on Facial Electromyogram and Electrooculogram for Immersive Social Virtual Reality Applications
With the rapid development of virtual reality (VR) technology and the market growth of social
network services (SNS), VR-based SNS have been actively developed, in which 3D avatars …
network services (SNS), VR-based SNS have been actively developed, in which 3D avatars …
Electromyogram‐Based Lip‐Reading via Unobtrusive Dry Electrodes and Machine Learning Methods
Lip‐reading provides an effective speech communication interface for people with voice
disorders and for intuitive human–machine interactions. Existing systems are generally …
disorders and for intuitive human–machine interactions. Existing systems are generally …
Facial expression distribution prediction based on surface electromyography
Facial expression recognition plays an important role in research on human–computer
interaction. The common facial expressions are mixtures of six basic emotions: anger …
interaction. The common facial expressions are mixtures of six basic emotions: anger …
Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram
Facial expression recognition plays an important role on mimicking and synchronizing
person's mental activity. Various approaches have been employed for recognition on facial …
person's mental activity. Various approaches have been employed for recognition on facial …
Comparison of facial muscle activation patterns between healthy and bell's palsy subjects using high-density surface electromyography
H Cui, W Zhong, Z Yang, X Cao, S Dai… - Frontiers in Human …, 2021 - frontiersin.org
Facial muscle activities are essential for the appearance and communication of human
beings. Therefore, exploring the activation patterns of facial muscles can help understand …
beings. Therefore, exploring the activation patterns of facial muscles can help understand …
A MEMS-based wearable, flexible embedded high-density sensor with self-adhesive PEDOT: PSS gel for HD-sEMG monitoring
N Zhao, HJ Yang, GC Shen, ZZ Wang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The gold standard for dysphagia detection is the videofluoroscopic swallowing study
(VFSS), which is the expensive equipment, radioactive, and carries the risk of inadvertent …
(VFSS), which is the expensive equipment, radioactive, and carries the risk of inadvertent …