Pain and stress detection using wearable sensors and devices—A review

J Chen, M Abbod, JS Shieh - Sensors, 2021 - mdpi.com
Pain is a subjective feeling; it is a sensation that every human being must have experienced
all their life. Yet, its mechanism and the way to immune to it is still a question to be …

[HTML][HTML] 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 …

Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support

I Nahum-Shani, SN Smith, BJ Spring… - Annals of behavioral …, 2018 - Springer
Background The just-in-time adaptive intervention (JITAI) is an intervention design aiming to
provide the right type/amount of support, at the right time, by adapting to an individual's …

Understanding and modeling of wifi signal based human activity recognition

W Wang, AX Liu, M Shahzad, K Ling, S Lu - Proceedings of the 21st …, 2015 - dl.acm.org
Some pioneer WiFi signal based human activity recognition systems have been proposed.
Their key limitation lies in the lack of a model that can quantitatively correlate CSI dynamics …

Device-free human activity recognition using commercial WiFi devices

W Wang, AX Liu, M Shahzad, K Ling… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Since human bodies are good reflectors of wireless signals, human activities can be
recognized by monitoring changes in WiFi signals. However, existing WiFi-based human …

Two-stream convolution augmented transformer for human activity recognition

B Li, W Cui, W Wang, L Zhang, Z Chen… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Recognition of human activities is an important task due to its far-reaching applications such
as healthcare system, context-aware applications, and security monitoring. Recently, WiFi …

Wearable, environmental, and smartphone-based passive sensing for mental health monitoring

M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …

cStress: towards a gold standard for continuous stress assessment in the mobile environment

K Hovsepian, M Al'Absi, E Ertin, T Kamarck… - Proceedings of the …, 2015 - dl.acm.org
Recent advances in mobile health have produced several new models for inferring stress
from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical …

Position and orientation agnostic gesture recognition using WiFi

A Virmani, M Shahzad - Proceedings of the 15th Annual International …, 2017 - dl.acm.org
WiFi based gesture recognition systems have recently proliferated due to the ubiquitous
availability of WiFi in almost every modern building. The key limitation of existing WiFi based …

Deconstructing gamification: evaluating the effectiveness of continuous measurement, virtual rewards, and social comparison for promoting physical activity

O Zuckerman, A Gal-Oz - Personal and ubiquitous computing, 2014 - Springer
Game design elements are often implemented in persuasive systems aimed to promote
physical activity, a process called “gamification.” Gamification is believed to motivate users …