Open Data Sets in Human Activity Recognition Research-Issues and Challenges: A Review

G Alam, I McChesney, P Nicholl… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Activities/Action Recognition: During activity recognition it can be challenging to differentiate
similar and dissimilar activities such as walking and running, stairs up and down movement. …

[HTML][HTML] Human activity recognition based on hybrid learning algorithm for wearable sensor data

RK Athota, D Sumathi - Measurement: Sensors, 2022 - Elsevier
… used in sensor-based activity recognition, including the proposed methodologies objectives.
Section 3 describes the proposed frameworks for activity recognition of humans used in this …

Gait-Watch: A Gait-based context-aware authentication system for smart watch via sparse coding

W Xu, Y Shen, C Luo, J Li, W Li, AY Zomaya - Ad Hoc Networks, 2020 - Elsevier
… and other non-accelerometer based gait measurements, … For instance, accelerometer
based gait recognition do not … Another issue in activity recognition is that activity classification …

Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition

N Bento, J Rebelo, AV Carreiro, F Ravache… - Sensors, 2023 - mdpi.com
… Human Activity Recognition (HAR) addresses the problem of identifying specific kinds of
physical activities or movements performed by a person based on data that can be collected by …

[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
… Human activity recognition (HAR) is a topic that has been researched for many years, but
recent technology advancements have allowed for novel applications. Potential applications …

HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications

W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
… collect multivariant time-series data that can be used to recognize human activities. Research
on human activity recognition (HAR) has gained significant attention in recent years due to …

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
… , we conducted a systematic review for human activity recognition. To ensure that our work
satisfies … Multiple works have proposed privacy preservation methods while classifying human …

Device-free human activity recognition with low-resolution infrared array sensor using long short-term memory neural network

C Yin, J Chen, X Miao, H Jiang, D Chen - Sensors, 2021 - mdpi.com
… The current activity of humans in the detection area is shown through the … -time detection
module is used to test the activity detection of an on-site human. During the real-time detection

Human activity recognition: From sensors to applications

F Fereidoonian, F Firouzi… - … Conference on Omni …, 2020 - ieeexplore.ieee.org
activity recognition topics such as posture recognition, localization, human tracking, gesture
recognition, and behavior recognition. … for posture recognition [1]. b) Radar: radar is another …

Computer vision-based unobtrusive physical activity monitoring in school by room-level physical activity estimation: A method proposition

H Hõrak - Information, 2019 - mdpi.com
… -time behaviour analysis such as action recognition. This work … in video-based action
recognition methods; and proposes … the research fields of accelerometer-based PA monitoring and …