A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices

I Awolusi, E Marks, M Hallowell - Automation in construction, 2018 - Elsevier
The construction process is considered a very risky endeavor because of the high frequency
of work-related injuries and fatalities. The collection and analysis of safety data is an …

A review of wearable sensors and systems with application in rehabilitation

S Patel, H Park, P Bonato, L Chan… - … of neuroengineering and …, 2012 - Springer
The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

Fall detection in homes of older adults using the Microsoft Kinect

EE Stone, M Skubic - IEEE journal of biomedical and health …, 2014 - ieeexplore.ieee.org
A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-
stage fall detection system is presented. The first stage of the detection system characterizes …

Evaluation of accelerometer-based fall detection algorithms on real-world falls

F Bagala, C Becker, A Cappello, L Chiari, K Aminian… - PloS one, 2012 - journals.plos.org
Despite extensive preventive efforts, falls continue to be a major source of morbidity and
mortality among elderly. Real-time detection of falls and their urgent communication to a …

A machine learning approach for fall detection and daily living activity recognition

A Chelli, M Pätzold - IEEE Access, 2019 - ieeexplore.ieee.org
The number of older people in western countries is constantly increasing. Most of them
prefer to live independently and are susceptible to fall incidents. Falls often lead to serious …

FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation

Y Cao, S Chen, P Hou, D Brown - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Fog computing is a recently proposed computing paradigm that extends Cloud computing
and services to the edge of the network. The new features offered by fog computing (eg …

A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a …

O Aziz, M Musngi, EJ Park, G Mori… - Medical & biological …, 2017 - Springer
Falls are the leading cause of injury-related morbidity and mortality among older adults.
Over 90% of hip and wrist fractures and 60% of traumatic brain injuries in older adults are …

A microphone array system for automatic fall detection

Y Li, KC Ho, M Popescu - IEEE Transactions on Biomedical …, 2012 - ieeexplore.ieee.org
More than a third of elderly fall each year in the United States. It has been shown that the
longer the lie on the floor, the poorer is the outcome of the medical intervention. To reduce …

Sensors-based wearable systems for monitoring of human movement and falls

T Shany, SJ Redmond, MR Narayanan… - IEEE Sensors …, 2011 - ieeexplore.ieee.org
The rapid aging of the world's population, along with an increase in the prevalence of
chronic illnesses and obesity, requires adaption and modification of current healthcare …