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Body-area capacitive or electric field sensing for human activity recognition and human-computer interaction: A comprehensive survey
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 …
water, the human body is inherently a conductive object, being able to, firstly, form an …
How and why people synchronize: an integrated perspective
Academic Abstract Interpersonal synchrony, the alignment of behavior and/or physiology
during interactions, is a pervasive phenomenon observed in diverse social contexts. Here …
during interactions, is a pervasive phenomenon observed in diverse social contexts. Here …
Modeling multiple sclerosis using mobile and wearable sensor data
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 …
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
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 …
as low academic performance, disaffection, and high dropout rates. Existing approaches to …
Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …
essential for facilitating video content customization and personalization. However, most …
Evaluating the reproducibility of physiological stress detection models
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 …
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
Patient-provider communication influences patient health outcomes, and analyzing such
communication could help providers identify opportunities for improvement, leading to better …
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
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …
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
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 …
collective understanding. While previous studies have utilized multiple sensors, such as …
Bridging the gap between emotion and joint action
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 …
adults working together (ie, team sports), or strangers navigating through a crowd. Joint …