[HTML][HTML] Deep learning for intelligent human–computer interaction

Z Lv, F Poiesi, Q Dong, J Lloret, H Song - Applied Sciences, 2022 - mdpi.com
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …

[HTML][HTML] Artificial intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things

MM Islam, S Nooruddin, F Karray, G Muhammad - Information Fusion, 2023 - Elsevier
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …

Wearable sensor-based human activity recognition with transformer model

I Dirgová Luptáková, M Kubovčík, J Pospíchal - Sensors, 2022 - mdpi.com
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

Decoupled contrastive multi-view clustering with high-order random walks

Y Lu, Y Lin, M Yang, D Peng, P Hu… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
In recent, some robust contrastive multi-view clustering (MvC) methods have been
proposed, which construct data pairs from neighborhoods to alleviate the false negative …

A systematic review of human activity recognition based on mobile devices: overview, progress and trends

Y Yin, L ** review
VCH Chan, GB Ross, AL Clouthier, SL Fischer… - Applied Ergonomics, 2022 - Elsevier
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …

A survey on integrated sensing, communication, and computation

D Wen, Y Zhou, X Li, Y Shi, K Huang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition

D Cheng, L Zhang, C Bu, H Wu, A Song - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) using wearable sensors is always a research hotspot in
ubiquitous computing scenario, in which feature learning has played a crucial role. Recent …

An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles

A Thakur, SK Mishra - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …