Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
[HTML][HTML] Trends in human activity recognition with focus on machine learning and power requirements
The advancement and availability of technology can be employed to improve our daily lives.
One example is Human Activity Recognition (HAR). HAR research has been mainly …
One example is Human Activity Recognition (HAR). HAR research has been mainly …
A human activity recognition method based on lightweight feature extraction combined with pruned and quantized CNN for wearable device
Human Activity Recognition (HAR) is becoming an essential part of human life care. Existing
HAR methods are usually developed using a two-level approach, wherein a first-level …
HAR methods are usually developed using a two-level approach, wherein a first-level …
AHAR: Adaptive CNN for energy-efficient human activity recognition in low-power edge devices
N Rashid, BU Demirel… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. This article proposes an …
requires continuous use of wearable devices to track daily activities. This article proposes an …
Deep ensemble learning for human activity recognition using wearable sensors via filter activation
During the past decade, human activity recognition (HAR) using wearable sensors has
become a new research hot spot due to its extensive use in various application domains …
become a new research hot spot due to its extensive use in various application domains …
w-HAR: An activity recognition dataset and framework using low-power wearable devices
Human activity recognition (HAR) is growing in popularity due to its wide-ranging
applications in patient rehabilitation and movement disorders. HAR approaches typically …
applications in patient rehabilitation and movement disorders. HAR approaches typically …
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 …
and heart rate measurements to establish a scalable framework for health at work and …
A lightweight framework for human activity recognition on wearable devices
YL Coelho, FAS dos Santos, A Frizera-Neto… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Human Activity Recognition (HAR) is the automatic detection and understanding of human
motion behavior based on data extracted from video camera, ambient sensors or wearable …
motion behavior based on data extracted from video camera, ambient sensors or wearable …
A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection
S Ankalaki, MN Thippeswamy - Multimedia Tools and Applications, 2024 - Springer
Human activity recognition (HAR) and abnormal/anomaly detection have significant
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …
Trends in technology usage for Parkinson's disease assessment: a systematic review
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified further due to its …
and non-motor symptoms. The complexity of PD pathology is amplified further due to its …