Current trends and opportunities in the methodology of electrodermal activity measurement
Electrodermal activity (EDA) has been measured in the laboratory since the late 1800s.
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
Reading the room: Automated, momentary assessment of student engagement in the classroom: Are we there yet?
When in front of a classroom, a skilled teacher can read the room, identifying when students
are engaged, frustrated, distracted, etc. In recent years we have seen significant changes in …
are engaged, frustrated, distracted, etc. In recent years we have seen significant changes in …
[HTML][HTML] 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 …
[HTML][HTML] Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia.
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
The role of model personalization for sleep stage and sleep quality recognition using wearables
Personal informatics systems can help people promote their health and well-being. Recent
studies have shown that such systems can be used to infer relevant health indicators such …
studies have shown that such systems can be used to infer relevant health indicators such …
[HTML][HTML] A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices
We present a multi-device and multi-modal dataset, called WEEE, collected from 17
participants while they were performing different physical activities. WEEE contains:(1) …
participants while they were performing different physical activities. WEEE contains:(1) …
[HTML][HTML] The connection between stress, density, and speed in crowds
M Beermann, A Sieben - Scientific Reports, 2023 - nature.com
Moving around in crowds is part of our daily lives, and we are used to the associated
restriction of mobility. Nevertheless, little is known about how individuals experience these …
restriction of mobility. Nevertheless, little is known about how individuals experience these …
Fetal movement detection by wearable accelerometer duo based on machine learning
J Xu, C Zhao, B Ding, X Gu, W Zeng, L Qiu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Objective: Fetal movement counting is one of the most important indices reflecting the health
of the fetus. In the hospital, ultrasound method serves as gold standard but could only be …
of the fetus. In the hospital, ultrasound method serves as gold standard but could only be …
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 …