A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities

K Chen, D Zhang, L Yao, B Guo, Z Yu… - ACM Computing Surveys …, 2021 - dl.acm.org
The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

Advanced internet of things for personalised healthcare systems: A survey

J Qi, P Yang, G Min, O Amft, F Dong, L Xu - Pervasive and mobile …, 2017 - Elsevier
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

Recent trends in machine learning for human activity recognition—A survey

S Ramasamy Ramamurthy… - … Reviews: Data Mining and …, 2018 - Wiley Online Library
There has been an upsurge recently in investigating machine learning techniques for activity
recognition (AR) problems as they have been very effective in extracting and learning …

A tutorial on human activity recognition using body-worn inertial sensors

A Bulling, U Blanke, B Schiele - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

R Chavarriaga, H Sagha, A Calatroni… - Pattern Recognition …, 2013 - Elsevier
There is a growing interest on using ambient and wearable sensors for human activity
recognition, fostered by several application domains and wider availability of sensing …

Discovering important people and objects for egocentric video summarization

YJ Lee, J Ghosh, K Grauman - 2012 IEEE conference on …, 2012 - ieeexplore.ieee.org
We present a video summarization approach for egocentric or “wearable” camera data.
Given hours of video, the proposed method produces a compact storyboard summary of the …

Discovering themes and trends in transportation research using topic modeling

L Sun, Y Yin - Transportation Research Part C: Emerging …, 2017 - Elsevier
Transportation research is a key area in both science and engineering. In this paper, we
present an empirical analysis of 17,163 articles published in 22 leading transportation …

Combining embedded accelerometers with computer vision for recognizing food preparation activities

S Stein, SJ McKenna - Proceedings of the 2013 ACM international joint …, 2013 - dl.acm.org
This paper introduces a publicly available dataset of complex activities that involve
manipulative gestures. The dataset captures people preparing mixed salads and contains …

[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

J Qi, P Yang, A Waraich, Z Deng, Y Zhao… - Journal of biomedical …, 2018 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …