[HTML][HTML] Deep learning based human activity recognition (HAR) using wearable sensor data

S Gupta - International Journal of Information Management Data …, 2021 - Elsevier
Motion or inertial sensors such as gyroscope and accelerometer commonly found in
smartwatches and smartphones can measure characteristics such as acceleration and …

A scoping review and a taxonomy of the use of motion-based technology centered on the end user. A special focus on elderly health

B Bossavit, AJ Fernández-Leiva - Multimedia Tools and Applications, 2024 - Springer
Motion-based technology (MBT) has been applied in the last decades with enormous
success in a high number of applications. Its use continues growing and is specially …

Recognizing physical activity of older people from wearable sensors and inconsistent data

A Papagiannaki, EI Zacharaki, G Kalouris… - Sensors, 2019 - mdpi.com
The physiological monitoring of older people using wearable sensors has shown great
potential in improving their quality of life and preventing undesired events related to their …

Assessment of frailty: a survey of quantitative and clinical methods

YN Panhwar, F Naghdy, G Naghdy, D Stirling… - BMC Biomedical …, 2019 - Springer
Background Frailty assessment is a critical approach in assessing the health status of older
people. The clinical tools deployed by geriatricians to assess frailty can be grouped into two …

Improving CNN-based activity recognition by data augmentation and transfer learning

G Kalouris, EI Zacharaki… - 2019 IEEE 17th …, 2019 - ieeexplore.ieee.org
Activity classification is a challenging problem due to large signal dimensionality, high intra-
and inter-subject variability in activity patterns, presence of transitional classes showing …

Classification and suitability of sensing technologies for activity recognition

P Woznowski, D Kaleshi, G Oikonomou… - Computer …, 2016 - Elsevier
Wider availability of sensors and sensing systems has pushed research in the direction of
automatic activity recognition (AR) either for medical or other personal benefits eg wellness …

Privacy by design in aged care monitoring devices? well, not quite yet!

S Alkhatib, J Waycott, G Buchanan, M Grobler… - Proceedings of the …, 2020 - dl.acm.org
Aged Care Monitoring Devices (ACMDs) collect and share information about older adults to
ensure their wellbeing. While monitoring devices enable older adults to live independently …

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with …

R Deeptha, K Ramkumar, S Venkateswaran… - Frontiers in …, 2024 - frontiersin.org
Elderly and individuals with disabilities can greatly benefit from human activity recognition
(HAR) systems, which have recently advanced significantly due to the integration of the …

UWB positioning system for elderly persons monitoring

V Djaja-Josko, J Kolakowski - 2015 23rd Telecommunications …, 2015 - ieeexplore.ieee.org
The NITICS1 project is focused on assistance to elderly people in their homes. Its main goal
is to develop a complex system which would cover all aspects from elderly people's safety to …

Quantitative frailty assessment using activity of daily living (ADL)

YN Panhwar, F Naghdy, D Stirling… - 2018 IEEE 18th …, 2018 - ieeexplore.ieee.org
Assessing the frailty of older people quantitatively is critical to prevent potential accidents
and to ensure their well-being. The older people with high frailty score are at the risk of fall …