An overview of human activity recognition using wearable sensors: Healthcare and artificial intelligence

R Liu, AA Ramli, H Zhang, E Henricson… - … Conference on Internet of …, 2021 - Springer
With the rapid development of the internet of things (IoT) and artificial intelligence (AI)
technologies, human activity recognition (HAR) has been applied in a variety of domains …

A review of video-based human activity recognition: Theory, methods and applications

TFN Bukht, H Rahman, M Shaheen, A Algarni… - Multimedia Tools and …, 2024 - Springer
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …

Toward general-purpose robots via foundation models: A survey and meta-analysis

Y Hu, Q Xie, V Jain, J Francis, J Patrikar… - arXiv preprint arXiv …, 2023 - arxiv.org
Building general-purpose robots that operate seamlessly in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …

Resnet-se: Channel attention-based deep residual network for complex activity recognition using wrist-worn wearable sensors

S Mekruksavanich, A Jitpattanakul… - IEEE …, 2022 - ieeexplore.ieee.org
Smart mobile devices are being widely used to identify and track human behaviors in simple
and complex daily activities. The evolution of wearable sensing technologies pertaining to …

A deep learning-based hybrid framework for object detection and recognition in autonomous driving

Y Li, H Wang, LM Dang, TN Nguyen, D Han… - IEEE …, 2020 - ieeexplore.ieee.org
As a key technology of intelligent transportation system, the intelligent vehicle is the carrier
of comprehensive integration of many technologies. Although vision-based autonomous …

MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications

H Park, N Kim, GH Lee, JK Choi - Future Generation Computer Systems, 2023 - Elsevier
With the recent advances in the Internet of Things (IoT) technologies, various human-
centered applications have proliferated and improved the quality of users' life. In the …

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

H Zhou, A Kadav, A Shamsian, S Geng, F Lai… - … on Computer Vision, 2022 - Springer
Abstract Group Activity Recognition detects the activity collectively performed by a group of
actors, which requires compositional reasoning of actors and objects. We approach the task …

Sensing within smart buildings: A survey

W Alsafery, O Rana, C Perera - ACM Computing Surveys, 2023 - dl.acm.org
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Cross-domain activity recognition via substructural optimal transport

W Lu, Y Chen, J Wang, X Qin - Neurocomputing, 2021 - Elsevier
It is expensive and time-consuming to collect sufficient labeled data for human activity
recognition (HAR). Domain adaptation is a promising approach for cross-domain activity …

BASAR: black-box attack on skeletal action recognition

Y Diao, T Shao, YL Yang, K Zhou… - Proceedings of the …, 2021 - openaccess.thecvf.com
Skeletal motion plays a vital role in human activity recognition as either an independent data
source or a complement. The robustness of skeleton-based activity recognizers has been …