Biometric data as real-time measure of physiological reactions to environmental stimuli in the built environment
The physiological and cognitive effects of environmental stimuli from the built environment
on humans have been studied for more than a century, over short time frames in terms of …
on humans have been studied for more than a century, over short time frames in terms of …
Sensing physiological and environmental quantities to measure human thermal comfort through machine learning techniques
N Morresi, S Casaccia, M Sorcinelli… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper presents the results from the experimental application of smartwatch sensors to
predict occupants' thermal comfort under varying environmental conditions. The goal is to …
predict occupants' thermal comfort under varying environmental conditions. The goal is to …
Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices
Electrodermal activity (EDA) is a physiological signal that can be used to infer humans'
affective states and stress levels. EDA can nowadays be monitored using unobtrusive …
affective states and stress levels. EDA can nowadays be monitored using unobtrusive …
Real-time stress detection based on artificial intelligence for people with an intellectual disability
S de Vries, F van Oost, H Smaling, N de Knegt… - 2024 - Taylor & Francis
People with severe intellectual disabilities (ID) could have difficulty expressing their stress
which may complicate timely responses from caregivers. The present study proposes an …
which may complicate timely responses from caregivers. The present study proposes an …
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The
dataset provides multi-modal data of 40 participants including audio, video (motion …
dataset provides multi-modal data of 40 participants including audio, video (motion …
Classification of stress in office work activities using extreme learning machine algorithm and one-way anova f-test feature selection
DJ Perangin-Angin, FA Bachtiar - 2021 4th International …, 2021 - ieeexplore.ieee.org
Stress is a condition when humans feel psychological pressure consciously or
unconsciously comes from within themselves and the environment. Based on the survey …
unconsciously comes from within themselves and the environment. Based on the survey …
The ForDigitStress Dataset: A Multi-Modal Dataset for Automatic Stress Recognition
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The
dataset provides multi-modal data of 40 participants including audio, video (motion …
dataset provides multi-modal data of 40 participants including audio, video (motion …
Assessing the association between subjective evaluation of space qualities and physiological responses through cinematic environments' emotion-eliciting stimuli
Objectives Human perception of the built environment affects emotional and physiological
states. This research focused on the association between evaluating a space's visual …
states. This research focused on the association between evaluating a space's visual …
Affect-aware thermal comfort provision in intelligent buildings
Predominant thermal comfort provision technologies are energy-hungry, and yet they
perform crudely because they overlook the requisite precursors to thermal comfort. They …
perform crudely because they overlook the requisite precursors to thermal comfort. They …
Data Quality Visual Analysis (DQVA) A tool to process and pinspot raw data irregularities
This project proposes a machine learning (ML) pipeline for inferring office employee's well-
being, from heterogeneous sources of contextual data (cf. physiological, social and …
being, from heterogeneous sources of contextual data (cf. physiological, social and …