A survey on physiological signal-based emotion recognition

Z Ahmad, N Khan - Bioengineering, 2022 - mdpi.com
Physiological signals are the most reliable form of signals for emotion recognition, as they
cannot be controlled deliberately by the subject. Existing review papers on emotion …

A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports

D Shen, X Tao, V Koncar, J Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Bioelectric signals are significant indicators of the state of health of the human body,
especially in sports monitoring, where athletes' fatigue state and performance need to be …

MyoNet: A transfer-learning-based LRCN for lower limb movement recognition and knee joint angle prediction for remote monitoring of rehabilitation progress from …

A Gautam, M Panwar, D Biswas… - IEEE journal of …, 2020 - ieeexplore.ieee.org
The clinical assessment technology such as remote monitoring of rehabilitation progress for
lower limb related ailments rely on the automatic evaluation of movement performed along …

Is daily‐life stress reactivity a measure of stress recovery? An investigation of laboratory and daily‐life stress

J De Calheiros Velozo, T Vaessen, G Lafit… - Stress and …, 2023 - Wiley Online Library
Typical measures of laboratory reactivity (ie difference between control and stress) and
recovery (ie difference between stress and post‐stress) were compared with a conventional …

A usability study of physiological measurement in school using wearable sensors

N Thammasan, IV Stuldreher, E Schreuders, M Giletta… - Sensors, 2020 - mdpi.com
Measuring psychophysiological signals of adolescents using unobtrusive wearable sensors
may contribute to understanding the development of emotional disorders. This study …

Wireless, continuous monitoring of daily stress and management practice via soft bioelectronics

H Kim, YS Kim, M Mahmood, S Kwon, F Epps… - Biosensors and …, 2021 - Elsevier
Stress has become a significant factor, directly affecting human health. Due to the numerous
sources of stress that are inevitable in daily life, effective management of stress is essential …

CPED: A Chinese positive emotion database for emotion elicitation and analysis

Y Zhang, G Zhao, Y Shu, Y Ge, D Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Positive emotions are of great significance to people's daily life, such as human-
computer/robot interaction. However, the structure of extensive positive emotions is not clear …

A real-world dataset of group emotion experiences based on physiological data

P Bota, J Brito, A Fred, P Cesar, H Silva - Scientific Data, 2024 - nature.com
Affective computing has experienced substantial advancements in recognizing emotions
through image and facial expression analysis. However, the incorporation of physiological …

A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design

K Jindal, R Upadhyay, HS Singh - International Journal of …, 2022 - Wiley Online Library
Multi‐class MI EEG analysis is an extensively used paradigm in BCI. However, multiple EEG
channels lead to redundant information extraction and would reduce the distinction among …

Instrumenting a virtual reality headset for at-home gamer experience monitoring and behavioural assessment

MA Moinnereau, AA Oliveira, TH Falk - Frontiers in Virtual Reality, 2022 - frontiersin.org
Measuring a gamer's behaviour and perceived gaming experience in real-time can be
crucial not only to assess game usability, but to also adjust the game play and content in real …