Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey

FJ Dian, R Vahidnia, A Rahmati - IEEE access, 2020 - ieeexplore.ieee.org
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 …

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 …

Comprehensive review of vision-based fall detection systems

J Gutiérrez, V Rodríguez, S Martin - Sensors, 2021 - mdpi.com
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 …

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 …

Elderly perception on the internet of things-based integrated smart-home system

TH Jo, JH Ma, SH Cha - Sensors, 2021 - mdpi.com
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 …

Traffic sign recognition based on semantic scene understanding and structural traffic sign location

W Min, R Liu, D He, Q Han, Q Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

Recent approaches on classification and feature extraction of EEG signal: A review

SK Pahuja, K Veer - Robotica, 2022 - cambridge.org
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
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 …

Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …