Personal sensing: understanding mental health using ubiquitous sensors and machine learning

DC Mohr, M Zhang, SM Schueller - Annual review of clinical …, 2017 - annualreviews.org
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

The future of sleep health: a data-driven revolution in sleep science and medicine

I Perez-Pozuelo, B Zhai, J Palotti, R Mall… - NPJ digital …, 2020 - nature.com
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

Cosmo: contrastive fusion learning with small data for multimodal human activity recognition

X Ouyang, X Shuai, J Zhou, IW Shi, Z **e… - Proceedings of the 28th …, 2022 - dl.acm.org
Human activity recognition (HAR) is a key enabling technology for a wide range of emerging
applications. Although multimodal sensing systems are essential for capturing complex and …