Sensor-based datasets for human activity recognition–a systematic review of literature

E De-La-Hoz-Franco, P Ariza-Colpas, JM Quero… - IEEE …, 2018 - ieeexplore.ieee.org
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

GCHAR: An efficient Group-based Context—Aware human activity recognition on smartphone

L Cao, Y Wang, B Zhang, Q Jin, AV Vasilakos - Journal of Parallel and …, 2018 - Elsevier
With smartphones increasingly becoming ubiquitous and being equipped with various
sensors, nowadays, there is a trend towards implementing HAR (Human Activity …

CGA: A new feature selection model for visual human action recognition

R Guha, AH Khan, PK Singh, R Sarkar… - Neural Computing and …, 2021 - Springer
Recognition of human actions from visual contents is a budding field of computer vision and
image understanding. The problem with such a recognition system is the huge dimensions …

Facial geometry and speech analysis for depression detection

A Pampouchidou, O Simantiraki… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Depression is one of the most prevalent mental disorders, burdening many people world-
wide. A system with the potential of serving as a decision support system is proposed, based …

PSDRNN: An efficient and effective HAR scheme based on feature extraction and deep learning

X Li, Y Wang, B Zhang, J Ma - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Recently, in this article, due to pervasive usability, smartphone-based human activity
recognition (HAR) has witnessed significant development in smart health. Meanwhile, deep …

[HTML][HTML] A robust feature extraction model for human activity characterization using 3-axis accelerometer and gyroscope data

R Ahmed Bhuiyan, N Ahmed, M Amiruzzaman… - Sensors, 2020 - mdpi.com
Human Activity Recognition (HAR) using embedded sensors in smartphones and
smartwatch has gained popularity in extensive applications in health care monitoring of …

[HTML][HTML] Harnas: human activity recognition based on automatic neural architecture search using evolutionary algorithms

X Wang, X Wang, T Lv, L Jin, M He - Sensors, 2021 - mdpi.com
Human activity recognition (HAR) based on wearable sensors is a promising research
direction. The resources of handheld terminals and wearable devices limit the performance …

Novel features for intensive human activity recognition based on wearable and smartphone sensors

A Nandy, J Saha, C Chowdhury - Microsystem Technologies, 2020 - Springer
On the lap of this modern era, human activity recognition (HAR) has been of great help in
case of health monitoring and rehabilitation. Existing works mostly use one or more specific …

Multi-label classification for physical activity recognition from various accelerometer sensor positions

R Mohamed, MNS Zainudin… - … of Information and …, 2018 - e-journal.uum.edu.my
In recent years, the use of accelerometers embedded in smartphones for Human Activity
Recognition (HAR) has been well considered. Nevertheless, the role of the sensor …

Human activity recognition machine with an anchor-based loss function

L Jin, X Wang, J Chu, M He - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
More recently, Human Activity Recognition (HAR) based on sensors has become a hot topic
due to its wide application. Researchers significantly reduce the cost of feature extraction …