Internet of things for smart healthcare: Technologies, challenges, and opportunities

SB Baker, W **ang, I Atkinson - Ieee Access, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) technology has attracted much attention in recent years for its
potential to alleviate the strain on healthcare systems caused by an aging population and a …

Anomalies detection through smartphone sensors: A review

M Krichen - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
With smartphones being so ubiquitous, more connected and largely fitted with several types
of sensors such as GPS, microphones, cameras, magnetometers, accelerometers, etc; there …

Type and location of wearable sensors for monitoring falls during static and dynamic tasks in healthy elderly: a review

R Rucco, A Sorriso, M Liparoti, G Ferraioli, P Sorrentino… - Sensors, 2018 - mdpi.com
In recent years, the meaning of successful living has moved from extending lifetime to
improving the quality of aging, mainly in terms of high cognitive and physical functioning …

Real-life/real-time elderly fall detection with a triaxial accelerometer

A Sucerquia, JD López, JF Vargas-Bonilla - Sensors, 2018 - mdpi.com
The consequences of a fall on an elderly person can be reduced if the accident is attended
by medical personnel within the first hour. Independent elderly people often stay alone for …

Novelty detection using deep normative modeling for imu-based abnormal movement monitoring in parkinson's disease and autism spectrum disorders

N Mohammadian Rad, T Van Laarhoven, C Furlanello… - Sensors, 2018 - mdpi.com
Detecting and monitoring of abnormal movement behaviors in patients with Parkinson's
Disease (PD) and individuals with Autism Spectrum Disorders (ASD) are beneficial for …

Gait-based authentication using a wrist-worn device

G Cola, M Avvenuti, F Musso, A Vecchio - Proceedings of the 13th …, 2016 - dl.acm.org
Every individual has a distinctive way of walking. For this reason gait can be a key element
of biometric techniques aimed at authenticating and/or identifying the user of a wearable …

Intermittent learning: On-device machine learning on intermittently powered system

S Lee, B Islam, Y Luo, S Nirjon - Proceedings of the ACM on Interactive …, 2019 - dl.acm.org
This paper introduces intermittent learning---the goal of which is to enable energy harvested
computing platforms capable of executing certain classes of machine learning tasks …

Semantic segmentation-based system for fall detection and post-fall posture classification

S Mobsite, N Alaoui, M Boulmalf, M Ghogho - Engineering Applications of …, 2023 - Elsevier
Fall is one of the most critical issues faced by elders in their daily life. The consequences of
falls range from fatal injuries, severe injuries to no injuries. Therefore, an effective system for …

Indirectly supervised anomaly detection of clinically meaningful health events from smart home data

J Dahmen, DJ Cook - ACM Transactions on Intelligent Systems and …, 2021 - dl.acm.org
Anomaly detection techniques can extract a wealth of information about unusual events.
Unfortunately, these methods yield an abundance of findings that are not of interest …

A wearable sensor system for lameness detection in dairy cattle

J Haladjian, J Haug, S Nüske, B Bruegge - Multimodal Technologies and …, 2018 - mdpi.com
Cow lameness is a common manifestation in dairy cattle that causes severe health and life
quality issues to cows, including pain and a reduction in their life expectancy. In our previous …