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 …

A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends

Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022‏ - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

Complex human activity recognition using smartphone and wrist-worn motion sensors

M Shoaib, S Bosch, OD Incel, H Scholten… - Sensors, 2016‏ - mdpi.com
The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …

Mobile computer vision-based applications for food recognition and volume and calorific estimation: A systematic review

LM Amugongo, A Kriebitz, A Boch, C Lütge - Healthcare, 2022‏ - mdpi.com
The growing awareness of the influence of “what we eat” on lifestyle and health has led to
an increase in the use of embedded food analysis and recognition systems. These solutions …

[HTML][HTML] Wearable food intake monitoring technologies: A comprehensive review

T Vu, F Lin, N Alshurafa, W Xu - Computers, 2017‏ - mdpi.com
Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …

HealthyOffice: Mood recognition at work using smartphones and wearable sensors

A Zenonos, A Khan, G Kalogridis… - 2016 IEEE …, 2016‏ - ieeexplore.ieee.org
Stress, anxiety and depression in the workplace are detrimental to human health and
productivity with significant financial implications. Recent research in this area has focused …

Necksense: A multi-sensor necklace for detecting eating activities in free-living conditions

S Zhang, Y Zhao, DT Nguyen, R Xu, S Sen… - Proceedings of the …, 2020‏ - dl.acm.org
We present the design, implementation, and evaluation of a multi-sensor, low-power
necklace, NeckSense, for automatically and unobtrusively capturing fine-grained information …

“Automatic ingestion monitor version 2”–a novel wearable device for automatic food intake detection and passive capture of food images

A Doulah, T Ghosh, D Hossain… - IEEE journal of …, 2020‏ - ieeexplore.ieee.org
Use of food image capture and/or wearable sensors for dietary assessment has grown in
popularity.“Active” methods rely on the user to take an image of each eating …

Healthcare applications of smart watches

TC Lu, CM Fu, MHM Ma, CC Fang… - Applied clinical …, 2016‏ - thieme-connect.com
The aim of this systematic review is to synthesize research studies involving the use of smart
watch devices for healthcare. The Preferred Reporting Items for Systematic Reviews and …

Auracle: Detecting eating episodes with an ear-mounted sensor

S Bi, T Wang, N Tobias, J Nordrum, S Wang… - Proceedings of the …, 2018‏ - dl.acm.org
In this paper, we propose Auracle, a wearable earpiece that can automatically recognize
eating behavior. More specifically, in free-living conditions, we can recognize when and for …