A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Wearable sensor‐based human activity recognition in the smart healthcare system

F Serpush, MB Menhaj, B Masoumi… - Computational …, 2022 - Wiley Online Library
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

A review of state-of-the-art techniques for abnormal human activity recognition

C Dhiman, DK Vishwakarma - Engineering Applications of Artificial …, 2019 - Elsevier
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

3D Human Action Recognition: Through the eyes of researchers

A Sarkar, A Banerjee, PK Singh, R Sarkar - Expert Systems with …, 2022 - Elsevier
Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …

Monitoring of the daily living activities in smart home care

J Vanus, J Belesova, R Martinek, J Nedoma… - … -centric Computing and …, 2017 - Springer
One of the key requirements for technological systems that are used to secure independent
housing for seniors in their home environment is monitoring of daily living activities (ADL) …

A review of smart house analysis methods for assisting older people living alone

VG Sanchez, CF Pfeiffer, NO Skeie - Journal of Sensor and Actuator …, 2017 - mdpi.com
Smart Houses are a prominent field of research referring to environments adapted to assist
people in their everyday life. Older people and people with disabilities would benefit the …

Activity recognition in smart homes via feature-rich visual extraction of locomotion traces

S Zolfaghari, SM Massa, D Riboni - Electronics, 2023 - mdpi.com
The proliferation of sensors in smart homes makes it possible to monitor human activities,
routines, and complex behaviors in an unprecedented way. Hence, human activity …

Agnostic Taekwondo Action Recognition Using Synthesized Two-Dimensional Skeletal Datasets

C Luo, SW Kim, HY Park, K Lim, H Jung - Sensors, 2023 - mdpi.com
Issues of fairness and consistency in Taekwondo poomsae evaluation have often occurred
due to the lack of an objective evaluation method. This study proposes a three-dimensional …

[HTML][HTML] Interactive effects of multiple stressors with significant wave height exposure on farmed Atlantic salmon (Salmo salar) welfare along an inshore-offshore …

TM Szewczyk, B Morro, C Díaz-Gil, PA Gillibrand… - Aquaculture, 2024 - Elsevier
Fish farming is the fastest growing food production sector worldwide and now accounts for
most human fish consumption. Expansion of finfish aquaculture to exposed offshore marine …

Performance analysis of supervised machine learning algorithms to recognize human activity in ambient assisted living environment

AD Patel, JH Shah - 2019 IEEE 16th India council international …, 2019 - ieeexplore.ieee.org
A significant challenge to provide services to the inhabitant in a smart environment resides
in the effective implementation of models. Most of the proposed models are conceptual and …