Challenges, issues and trends in fall detection systems

R Igual, C Medrano, I Plaza - Biomedical engineering online, 2013 - Springer
Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Fall detection and fall risk assessment in older person using wearable sensors: A systematic review

P Bet, PC Castro, MA Ponti - International journal of medical informatics, 2019 - Elsevier
Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

Human fall detection in surveillance videos using fall motion vector modeling

C Vishnu, R Datla, D Roy, S Babu… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Representation of spatio-temporal properties of human body silhouette and human-to-
ground relationship, significantly contribute to the fall detection process. So, we propose an …

Review of fall detection techniques: A data availability perspective

SS Khan, J Hoey - Medical engineering & physics, 2017 - Elsevier
A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have
serious health and safety implications on an individual. Due to the rarity of occurrence of …

Fall prediction and prevention systems: recent trends, challenges, and future research directions

R Rajagopalan, I Litvan, TP Jung - Sensors, 2017 - mdpi.com
Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

sEMG-based lower limb motion prediction using CNN-LSTM with improved PCA optimization algorithm

M Zhu, X Guan, Z Li, L He, Z Wang, K Cai - Journal of Bionic Engineering, 2023 - Springer
In recent years, sEMG (surface electromyography) signals have been increasingly used to
operate wearable devices. The development of mechanical lower limbs or exoskeletons …

Prefetching using markov predictors

D Joseph, D Grunwald - Proceedings of the 24th annual international …, 1997 - dl.acm.org
Prefetching is one approach to reducing the latency of memory operations in modern
computer systems. In this paper, we describe the Markov prefetcher. This prefetcher acts as …

A continuous hand gestures recognition technique for human-machine interaction using accelerometer and gyroscope sensors

HP Gupta, HS Chudgar, S Mukherjee… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Recent advances in smart devices have sustained them as a better alternative for the design
of human-machine interaction (HMI), because they are equipped with accelerometer sensor …

A smart phone-based pocket fall accident detection, positioning, and rescue system

LJ Kau, CS Chen - IEEE journal of biomedical and health …, 2014 - ieeexplore.ieee.org
We propose in this paper a novel algorithm as well as architecture for the fall accident
detection and corresponding wide area rescue system based on a smart phone and the third …