Wearable-based affect recognition—A review

P Schmidt, A Reiss, R Dürichen, K Van Laerhoven - Sensors, 2019 - mdpi.com
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Bio-signals in medical applications and challenges using artificial intelligence

M Swapna, UM Viswanadhula, R Aluvalu… - Journal of Sensor and …, 2022 - mdpi.com
Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …

Regulation of the Metaverse: A Roadmap: The risks and regulatory solutions for largescale consumer platforms.

L Rosenberg - Proceedings of the 6th international conference on …, 2022 - dl.acm.org
Over the last thirty years, virtual reality (VR) and augmented reality (AR) technologies have
steadily advanced, enabling high-fidelity experiences at consumer prices. Over the same …

Emotional sweating across the body: Comparing 16 different skin conductance measurement locations

M van Dooren, JH Janssen - Physiology & behavior, 2012 - Elsevier
Skin conductance (SC) is one of the most commonly used measures in psychophysiological
studies involving emotional arousal and is traditionally measured at the fingers or the palms …

A dataset of continuous affect annotations and physiological signals for emotion analysis

K Sharma, C Castellini, EL Van Den Broek… - Scientific data, 2019 - nature.com
From a computational viewpoint, emotions continue to be intriguingly hard to understand. In
research, a direct and real-time inspection in realistic settings is not possible. Discrete …

Continuous inference of psychological stress from sensory measurements collected in the natural environment

K Plarre, A Raij, SM Hossain, AA Ali… - Proceedings of the …, 2011 - ieeexplore.ieee.org
Repeated exposures to psychological stress can lead to or worsen diseases of slow
accumulation such as heart diseases and cancer. The main challenge in addressing the …

A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing

D Novak, M Mihelj, M Munih - Interacting with computers, 2012 - academic.oup.com
Physiological computing represents a mode of human–computer interaction where the
computer monitors, analyzes and responds to the user's psychophysiological activity in real …

CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360 VR Videos

T Xue, A El Ali, T Zhang, G Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Watching 360 videos using Virtual Reality (VR) head-mounted displays (HMDs) provides
interactive and immersive experiences, where videos can evoke different emotions. Existing …

Regulating the Metaverse, a Blueprint for the Future

LB Rosenberg - International Conference on Extended Reality, 2022 - Springer
Abstract The core Immersive Media (IM) technologies of Virtual Reality (VR) and Augmented
Reality (AR) have steadily advanced over the last thirty years, enabling high fidelity …

Towards real-time recognition of users mental workload using integrated physiological sensors into a VR HMD

T Luong, N Martin, A Raison… - … symposium on mixed …, 2020 - ieeexplore.ieee.org
This paper describes an “all-in-one” solution for the real-time recognition of users' mental
workloads in virtual reality through the customization of a commercial HMD with …