Deep learning in human activity recognition with wearable sensors: A review on advances

S Zhang, Y Li, S Zhang, F Shahabi, S Xia, Y Deng… - Sensors, 2022 - mdpi.com
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

[HTML][HTML] Trends in human activity recognition with focus on machine learning and power requirements

B Nguyen, Y Coelho, T Bastos, S Krishnan - Machine Learning with …, 2021 - Elsevier
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 …

FedHAR: Semi-supervised online learning for personalized federated human activity recognition

H Yu, Z Chen, X Zhang, X Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The advancement of smartphone sensors and wearable devices has enabled a new
paradigm for smart human activity recognition (HAR), which has a broad range of …

Human activity recognition with accelerometer and gyroscope: A data fusion approach

M Webber, RF Rojas - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …

Personalized human activity recognition based on integrated wearable sensor and transfer learning

Z Fu, X He, E Wang, J Huo, J Huang, D Wu - Sensors, 2021 - mdpi.com
Human activity recognition (HAR) based on the wearable device has attracted more
attention from researchers with sensor technology development in recent years. However …

Device free human gesture recognition using Wi-Fi CSI: A survey

HFT Ahmed, H Ahmad, CV Aravind - Engineering Applications of Artificial …, 2020 - Elsevier
Device-free sensing of human gestures has gained tremendous research attention with the
recent advancements in wireless technologies. Channel State Information (CSI), a metric of …

w-HAR: An activity recognition dataset and framework using low-power wearable devices

G Bhat, N Tran, H Shill, UY Ogras - Sensors, 2020 - mdpi.com
Human activity recognition (HAR) is growing in popularity due to its wide-ranging
applications in patient rehabilitation and movement disorders. HAR approaches typically …

Smart insoles review (2008-2021): Applications, potentials, and future

I Almuteb, R Hua, Y Wang - Smart Health, 2022 - Elsevier
During the past decade, smart insole-like devices become more and more popular in daily
applications, such as gait studies, activity recognition, health monitoring and evaluation …