Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions

U Lee, K Han, H Cho, KM Chung, H Hong, SJ Lee… - Ad Hoc Networks, 2019 - Elsevier
The use of mobile, wearable, and Internet of Things (IoT) technologies fosters unique
opportunities for designing novel intelligent positive computing services that address various …

Toward data-driven digital therapeutics analytics: Literature review and research directions

U Lee, G Jung, EY Ma, J San Kim, H Kim… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
With the advent of digital therapeutics (DTx), the development of software as a medical
device (SaMD) for mobile and wearable devices has gained significant attention in recent …

Biosensors toward behavior detection in diagnosis of alzheimer's disease

X Sun, X Sun, Q Wang, X Wang, L Feng… - … in Bioengineering and …, 2022 - frontiersin.org
In recent years, a huge number of individuals all over the world, elderly people, in particular,
have been suffering from Alzheimer's disease (AD), which has had a significant negative …

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors

J Gong, Y Huang, PI Chow, K Fua, MS Gerber… - Information …, 2019 - Elsevier
The way people use smartphones provides a window into the relationship between
behaviors and mental health. This relationship is of particular significance to individuals with …

A comprehensive systematic review on mobile applications to support dementia patients

D de Oliveira Cruz, C Chechetti, SMD Brucki… - Pervasive and Mobile …, 2023 - Elsevier
The increasing number of patients living with dementia requires effective support measures.
Easier access to mobile devices can provide the follow-up and monitoring of patients with …

Brush like a dentist: Accurate monitoring of toothbrushing via wrist-worn gesture sensing

C Luo, X Feng, J Chen, J Li, W Xu, W Li… - … -IEEE Conference on …, 2019 - ieeexplore.ieee.org
Oral health has significant impact on people's over-all well-being. While many activity
recognition systems exist in the literature, accurately sensing toothbrushing activities …

Multiple-instance learning for sparse behavior modeling from wearables: Toward dementia-related agitation prediction

R Alam, A Bankole, M Anderson… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Agitation in persons with dementia (PWD) poses major health risks both for themselves and
for their caregivers. Passive sensing based continuous behavior tracking can prevent the …

[HTML][HTML] Leveraging smart health technology to empower patients and family caregivers in managing cancer pain: protocol for a feasibility study

V LeBaron, J Hayes, K Gordon, R Alam… - JMIR Research …, 2019 - researchprotocols.org
Background An estimated 60%-90% of patients with cancer experience moderate to severe
pain. Poorly managed cancer pain negatively affects the quality of life for both patients and …

E-prevention: Advanced support system for monitoring and relapse prevention in patients with psychotic disorders analyzing long-term multimodal data from …

A Zlatintsi, PP Filntisis, C Garoufis, N Efthymiou… - Sensors, 2022 - mdpi.com
Wearable technologies and digital phenotyping foster unique opportunities for designing
novel intelligent electronic services that can address various well-being issues in patients …

BESI: Reliable and heterogeneous sensing and intervention for in-home health applications

R Alam, J Dugan, N Homdee, N Gandhi… - 2017 IEEE/ACM …, 2017 - ieeexplore.ieee.org
Advances in sensing, wireless communication, and data analytics have enabled various
monitoring systems for smart health applications. However, many challenges remain to …