Upper body activity classification using an inertial measurement unit in court and field-based sports: A systematic review

J McGrath, J Neville, T Stewart… - Proceedings of the …, 2021 - journals.sagepub.com
Inertial measurement units (IMUs) are becoming increasingly popular in activity
classification and workload measurement in sport. This systematic literature review focuses …

Gait recognition for lower limb exoskeletons based on interactive information fusion

W Chen, J Li, S Zhu, X Zhang, Y Men… - Applied Bionics and …, 2022 - Wiley Online Library
In recent decades, although the research on gait recognition of lower limb exoskeleton robot
has been widely developed, there are still limitations in rehabilitation training and clinical …

[PDF][PDF] An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch.

N Hnoohom, S Mekruksavanich… - Intelligent Automation & …, 2023 - researchgate.net
Smoking is a major cause of cancer, heart disease and other afflictions that lead to early
mortality. An effective smoking classification mechanism that provides insights into individual …

Vision-based fall detection using st-gcn

O Keskes, R Noumeir - IEEE Access, 2021 - ieeexplore.ieee.org
Falls are a growing issue in society and has become a hot topic in the healthcare domain.
Falls are more likely to occur to due to age or health problems such as cardiovascular issues …

Segmentation and recognition of basic and transitional activities for continuous physical human activity

JH Li, L Tian, H Wang, Y An, K Wang, L Yu - IEEE access, 2019 - ieeexplore.ieee.org
Human activity recognition (HAR) is a hot research topic which aims to understand human
behavior and can be applied in various applications. However, transitions between activities …

Physical workload tracking using human activity recognition with wearable devices

J Manjarres, P Narvaez, K Gasser, W Percybrooks… - Sensors, 2019 - mdpi.com
In this work, authors address workload computation combining human activity recognition
and heart rate measurements to establish a scalable framework for health at work and …

Wearable-based human activity recognition using an iot approach

D Castro, W Coral, C Rodriguez, J Cabra… - Journal of Sensor and …, 2017 - mdpi.com
This paper presents a novel system based on the Internet of Things (IoT) to Human Activity
Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms …

[PDF][PDF] Sieci nski

RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …

A comparative study of feature selection approaches for human activity recognition using multimodal sensory data

F Amjad, MH Khan, MA Nisar, MS Farid, M Grzegorzek - Sensors, 2021 - mdpi.com
Human activity recognition (HAR) aims to recognize the actions of the human body through
a series of observations and environmental conditions. The analysis of human activities has …

Sensor-based classification of primary and secondary car driver activities using convolutional neural networks

R Doniec, J Konior, S Sieciński, A Piet, MT Irshad… - Sensors, 2023 - mdpi.com
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …