Body-area capacitive or electric field sensing for human activity recognition and human-computer interaction: A comprehensive survey

S Bian, M Liu, B Zhou, P Lukowicz… - Proceedings of the ACM on …, 2024 - dl.acm.org
Due to the fact that roughly sixty percent of the human body is essentially composed of
water, the human body is inherently a conductive object, being able to, firstly, form an …

How and why people synchronize: an integrated perspective

EB daSilva, A Wood - Personality and Social Psychology …, 2024 - journals.sagepub.com
Academic Abstract Interpersonal synchrony, the alignment of behavior and/or physiology
during interactions, is a pervasive phenomenon observed in diverse social contexts. Here …

Modeling multiple sclerosis using mobile and wearable sensor data

S Gashi, P Oldrati, M Moebus, M Hilty, L Barrios… - npj Digital …, 2024 - nature.com
Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the
leading cause of non-traumatic disability in young adults. Clinical laboratory tests and …

n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild

N Gao, W Shao, MS Rahaman, FD Salim - Proceedings of the ACM on …, 2020 - dl.acm.org
The study of student engagement has attracted growing interests to address problems such
as low academic performance, disaffection, and high dropout rates. Existing approaches to …

Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors

T Zhang, A El Ali, C Wang, A Hanjalic, P Cesar - Sensors, 2020 - mdpi.com
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …

Evaluating the reproducibility of physiological stress detection models

V Mishra, S Sen, G Chen, T Hao, J Rogers… - Proceedings of the …, 2020 - dl.acm.org
Recent advances in wearable sensor technologies have led to a variety of approaches for
detecting physiological stress. Even with over a decade of research in the domain, there still …

Conversense: An automated approach to assess patient-provider interactions using social signals

MS Bedmutha, A Tsedenbal, K Tobar… - Proceedings of the …, 2024 - dl.acm.org
Patient-provider communication influences patient health outcomes, and analyzing such
communication could help providers identify opportunities for improvement, leading to better …

[HTML][HTML] Physiokit: An open-source, low-cost physiological computing toolkit for single-and multi-user studies

J Joshi, K Wang, Y Cho - Sensors, 2023 - mdpi.com
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …

Engauge: Engagement gauge of meeting participants estimated by facial expression and deep neural network

K Watanabe, T Sathyanarayana, A Dengel… - IEEE …, 2023 - ieeexplore.ieee.org
Measuring the level of engagement among participants in a meeting is crucial for evaluating
collective understanding. While previous studies have utilized multiple sensors, such as …

Bridging the gap between emotion and joint action

MMN Bieńkiewicz, AP Smykovskyi, T Olugbade… - Neuroscience & …, 2021 - Elsevier
Our daily human life is filled with a myriad of joint action moments, be it children playing,
adults working together (ie, team sports), or strangers navigating through a crowd. Joint …