Human falling detection algorithm based on multisensor data fusion with SVM

D Pan, H Liu, D Qu, Z Zhang - Mobile Information Systems, 2020 - Wiley Online Library
Falling is a common phenomenon in the life of the elderly, and it is also one of the 10 main
causes of serious health injuries and death of the elderly. In order to prevent falling of the …

A two-stage fall recognition algorithm based on human posture features

K Han, Q Yang, Z Huang - Sensors, 2020 - mdpi.com
Falls are seriously threatening the health of elderly. In order to reduce the potential danger
caused by falls, this paper proposes a two-stage fall recognition algorithm based on human …

A machine learning approach to fall detection algorithm using wearable sensor

CY Hsieh, CN Huang, KC Liu, WC Chu… - … materials for science …, 2016 - ieeexplore.ieee.org
Falls are the primary cause of accidents for the elderly in living environment. Falls frequently
cause fatal and non-fatal injuries that are associated with a large amount of medical costs …

Accelerometer-based human fall detection using sparrow search algorithm and back propagation neural network

T Wang, B Wang, Y Shen, Y Zhao, W Li, K Yao, X Liu… - Measurement, 2022 - Elsevier
To reduce the injury caused by the fall and solve the problems of low efficiency and low
accuracy of traditional fall prediction methods, an optimized BP neural network fall prediction …

Activity-aware fall detection and recognition based on wearable sensors

F Hussain, F Hussain, M Ehatisham-ul-Haq… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

Indoor human fall detection algorithm based on wireless sensing

C Wang, L Tang, M Zhou, Y Ding… - Tsinghua Science …, 2022 - ieeexplore.ieee.org
As the main health threat to the elderly living alone and performing indoor activities, falls
have attracted great attention from institutions and society. Currently, fall detection systems …

A benchmark database and baseline evaluation for fall detection based on wearable sensors for the Internet of medical things platform

Z Liu, Y Cao, L Cui, J Song, G Zhao - IEEE Access, 2018 - ieeexplore.ieee.org
Falling is a common and dangerous event for the elderly population. Fall detection is an
interesting scientific problem and an ill-defined process that can be solved through various …

Fall detection system based on infrared array sensor and multi-dimensional feature fusion

Y Yang, H Yang, Z Liu, Y Yuan, X Guan - Measurement, 2022 - Elsevier
In recent years, with the acceleration of the aging of the population, the safety of the elderly
living alone has attracted great attention, and the falls have become one of the main factors …

Fall detection algorithm for the elderly based on human characteristic matrix and SVM

R Wang, Y Zhang, L Dong, J Lu… - … Conference on Control …, 2015 - ieeexplore.ieee.org
Fall is one of the leading causes of injury and death for the elderly. Real-time fall detection is
of great significance for the safety of the elderly. This paper proposes a coarse to fine fall …

Smartphone-based fall detection algorithm using feature extraction

YW Hsu, KH Chen, JJ Yang… - 2016 9th International …, 2016 - ieeexplore.ieee.org
The danger of falling among the elderly is a public concern and is becoming an important
issue that needs further attention. Sensors embedded in smartphones provide information …