Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …
and provide a response to the user and are finding more and more applications in our daily …
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 …
problems among elderly individuals. With the advancements of technologies, falls have …
Comprehensive review of vision-based fall detection systems
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …
To determine the course of its evolution and help new researchers, the main audience of this …
Fall detection system for elderly people using IoT and ensemble machine learning algorithm
D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …
in time can cause functional impairment in an elderly and a significant decrease in his …
Elderly perception on the internet of things-based integrated smart-home system
An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …
Traffic sign recognition based on semantic scene understanding and structural traffic sign location
Traffic sign recognition (TSR) plays an important role in driving assistance system and traffic
safety insurance. However, existing methods focus on extracting features of traffic signs and …
safety insurance. However, existing methods focus on extracting features of traffic signs and …
A novel monitoring system for fall detection in older people
C Taramasco, T Rodenas, F Martinez, P Fuentes… - Ieee …, 2018 - ieeexplore.ieee.org
Each year, more than 30% of people over 65 years-old suffer some fall. Unfortunately, this
can generate physical and psychological damage, especially if they live alone and they are …
can generate physical and psychological damage, especially if they live alone and they are …
Recent approaches on classification and feature extraction of EEG signal: A review
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …
commercial applications. Most of the tools available for EEG signal analysis use machine …
Vision-based fall event detection in complex background using attention guided bi-directional LSTM
Y Chen, W Li, L Wang, J Hu, M Ye - IEEE Access, 2020 - ieeexplore.ieee.org
Fall event, as one of the greatest risks to the elderly, its detection has been a hot research
issue in the solitary scene in recent years. Nevertheless, most current researches are …
issue in the solitary scene in recent years. Nevertheless, most current researches are …
Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …