Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review

E Ramanujam, T Perumal… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …

A review of computer vision-based approaches for physical rehabilitation and assessment

B Debnath, M O'brien, M Yamaguchi, A Behera - Multimedia Systems, 2022 - Springer
The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …

Remote patient monitoring: a comprehensive study

LP Malasinghe, N Ramzan, K Dahal - Journal of Ambient Intelligence and …, 2019 - Springer
Healthcare is a field that is rapidly developing in technology and services. A recent
development in this area is remote monitoring of patients which has many advantages in a …

[Retracted] A Novel Smart Healthcare Monitoring System Using Machine Learning and the Internet of Things

MB Alazzam, F Alassery… - … and Mobile Computing, 2021 - Wiley Online Library
The Internet of Things (IoT) has enabled the invention of smart health monitoring systems.
These health monitoring systems can track a person's mental and physical wellness. Stress …

A deep-learning-based smart healthcare system for patient's discomfort detection at the edge of internet of things

I Ahmed, G Jeon, F Piccialli - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) widely supports the smart healthcare field; combined with
computer vision, machine, and deep learning techniques; it provides fast and accurate …

[HTML][HTML] Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

Positive technology for elderly well-being: A review

G Grossi, R Lanzarotti, P Napoletano, N Noceti… - Pattern Recognition …, 2020 - Elsevier
In the last decades, given the necessity of assisting fragile citizens, of which elderly
represent a significant portion, a considerable research effort has been devoted to the use of …

Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions

P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

Recognizing activities of daily living from UWB radars and deep learning

J Maitre, K Bouchard, C Bertuglia, S Gaboury - Expert Systems with …, 2021 - Elsevier
Since years, the number of seniors increases while, at the same time, we observe a
diminution of the potential support ratio. In order to overcome this limitation, solutions …

A review on video-based active and assisted living technologies for automated lifelogging

P Climent-Pérez, S Spinsante, A Mihailidis… - Expert Systems with …, 2020 - Elsevier
Providing support for ageing and frail populations to extend their personal autonomy is
desirable for their well-being as it is for the society at large, since it can ease the economic …