Research of fall detection and fall prevention technologies: A systematic review

L Ren, Y Peng - IEEE Access, 2019 - ieeexplore.ieee.org
Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

A review of wearable sensors based fall-related recognition systems

J Liu, X Li, S Huang, R Chao, Z Cao, S Wang… - … Applications of Artificial …, 2023 - Elsevier
Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …

Trends in audio signal feature extraction methods

G Sharma, K Umapathy, S Krishnan - Applied Acoustics, 2020 - Elsevier
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

Phonocardiogram signal processing for automatic diagnosis of congenital heart disorders through fusion of temporal and cepstral features

S Aziz, MU Khan, M Alhaisoni, T Akram, M Altaf - Sensors, 2020 - mdpi.com
Congenital heart disease (CHD) is a heart disorder associated with the devastating
indications that result in increased mortality, increased morbidity, increased healthcare …

Voice spoofing detector: A unified anti-spoofing framework

A Javed, KM Malik, H Malik, A Irtaza - Expert Systems with Applications, 2022 - Elsevier
Voice controlled systems (VCS) in Internet of Things (IoT), speaker verification systems,
voice-based biometrics, and other voice-assistant-enabled systems are vulnerable to …

Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features

MB Er - Applied Acoustics, 2021 - Elsevier
Cardiovascular diseases are one of those diseases which should be considered to be
serious health threats for humans since today it is seen that majority of deaths are caused by …

[HTML][HTML] Occupant behavior monitoring and emergency event detection in single-person households using deep learning-based sound recognition

J Kim, K Min, M Jung, S Chi - Building and Environment, 2020 - Elsevier
The number of single-person households (SPHs) has been consistently increasing owing to
various social issues, such as separation by death, declining marriage rate, and increasing …

Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns

K Iqtidar, U Qamar, S Aziz, MU Khan - Computers in Biology and Medicine, 2021 - Elsevier
Abstract Coronary Artery Diseases (CADs) are a dominant cause of worldwide fatalities. The
development of accurate and timely diagnosis routines is imperative to reduce these risks …

A light-weight replay detection framework for voice controlled IoT devices

KM Malik, A Javed, H Malik… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
The growing number of voice-controlled devices (VCDs), ie Google Home, Amazon Alexa,
etc., has resulted in automation of home appliances, smart gadgets, and next generation …

Voice spoofing countermeasure for logical access attacks detection

T Arif, A Javed, M Alhameed, F Jeribi, A Tahir - IEEE Access, 2021 - ieeexplore.ieee.org
Voice-driven devices (VDDs) like Google Home and Amazon Alexa, which are well-known
connected devices in consumer IoT, have applications in various domains ie, home …