CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person Scenarios-Reference-Cited by-同舟云学术

CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person Scenarios

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
language:
Short-container-title:

Author:

Yan Ge¹,Zhang Chao¹,Wang Jiadi¹,Xu Zheng²,Liu Jianhui¹,Nie Jintao¹,Ying Fangtian³,Yao Cheng¹

Affiliation:

1. Zhejiang University, China

2. Zhejiang University, School of Computer Science and Technology, China

3. Hubei University of Technology, China

Funder

Engineering Research Center of Computer Aided Product Innovation Design, Ministry of Education, Fundamental Research Funds for the Central Universities, National Natural Science Foundation of China

National Social Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3519780

Reference23 articles.

1. Determining what individual sus scores mean: adding an adjective rating scale;Bangor Aaron;J. Usability Stud.,2009

2. Alexey Bochkovskiy , Chien-Yao Wang , Hong-Yuan Mark Liao . 2020 . YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv: 2004.10934. Retrieved from https://doi.org/10.48550/arXiv.2004.10934 Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv: 2004.10934. Retrieved from https://doi.org/10.48550/arXiv.2004.10934

3. John Brooke . 1996. SUS: a “quick and dirty ” usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & A. L. McClelland (Eds.), Usability Evaluation in Industry. Taylor and Francis . John Brooke. 1996. SUS: a “quick and dirty” usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & A. L. McClelland (Eds.), Usability Evaluation in Industry. Taylor and Francis.

4. Andreas Butz , Michael Schneider , and Mira Spassova . 2004. SearchLight – a lightweight search function for pervasive environments . In Pervasive Computing (Lecture Notes in Computer Science) . Springer , Berlin, Heidelberg , 351–356. https://doi.org/10.1007/978-3-540-24646-6_26 Andreas Butz, Michael Schneider, and Mira Spassova. 2004. SearchLight – a lightweight search function for pervasive environments. In Pervasive Computing (Lecture Notes in Computer Science). Springer, Berlin, Heidelberg, 351–356. https://doi.org/10.1007/978-3-540-24646-6_26

5. Detecting, tracking and interacting with people in a public space

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Poster: Towards Acoustic-Based Tagless Object Tracking with Smartwatches;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

2. Exploring the Role of Video Playback Visual Cues in Object Retrieval Tasks;Sensors;2024-05-15

3. LocatAR: An AR Object Search Assistance System for a Shared Space;Augmented Humans Conference;2023-03-12