A survey on wireless body area networks for ehealthcare systems in residential environments

M Ghamari, B Janko, RS Sherratt, W Harwin… - Sensors, 2016 - mdpi.com
Current progress in wearable and implanted health monitoring technologies has strong
potential to alter the future of healthcare services by enabling ubiquitous monitoring of …

Fall detection devices and their use with older adults: a systematic review

S Chaudhuri, H Thompson… - Journal of geriatric physical …, 2014 - journals.lww.com
Background: Falls represent a significant threat to the health and independence of adults
aged 65 years and older. As a wide variety and large number of passive monitoring systems …

Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring

Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we present the task description and discuss the results of the DCASE 2020
Challenge Task 2: Unsupervised Detection of Anomalous Sounds for Machine Condition …

Detecting falls with wearable sensors using machine learning techniques

AT Özdemir, B Barshan - Sensors, 2014 - mdpi.com
Falls are a serious public health problem and possibly life threatening for people in fall risk
groups. We develop an automated fall detection system with wearable motion sensor units …

Bringing IoT and cloud computing towards pervasive healthcare

C Doukas, I Maglogiannis - 2012 sixth international conference …, 2012 - ieeexplore.ieee.org
Pervasive healthcare applications utilizing body sensor networks generate a vast amount of
data that need to be managed and stored for processing and future usage. Cloud computing …

Depth-based human fall detection via shape features and improved extreme learning machine

X Ma, H Wang, B Xue, M Zhou, B Ji… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Falls are one of the major causes leading to injury of elderly people. Using wearable
devices for fall detection has a high cost and may cause inconvenience to the daily lives of …

Fall detection based on body part tracking using a depth camera

ZP Bian, J Hou, LP Chau… - IEEE journal of …, 2014 - ieeexplore.ieee.org
The elderly population is increasing rapidly all over the world. One major risk for elderly
people is fall accidents, especially for those living alone. In this paper, we propose a robust …

[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers

J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …

Automatic monocular system for human fall detection based on variations in silhouette area

B Mirmahboub, S Samavi, N Karimi… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Population of old generation is growing in most countries. Many of these seniors are living
alone at home. Falling is among the most dangerous events that often happen and may …

Sensor enabled wearable RFID technology for mitigating the risk of falls near beds

RLS Torres, DC Ranasinghe, Q Shi… - … conference on RFID …, 2013 - ieeexplore.ieee.org
The increasing ageing population around the world and the increased risk of falling among
this demographic, challenges society and technology to find better ways to mitigate the …