Space utilization and activity recognition using 3D stereo vision camera inside an educational building-Reference-Cited by-同舟云学术

Space utilization and activity recognition using 3D stereo vision camera inside an educational building

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
language:
Short-container-title:

Author:

Das Anooshmita¹,Jens Krister²,Kjærgaard Mikkel Baun¹

Affiliation:

1. University of Southern Denmark, Odense, Denmark

2. Technical University of Denmarkk, Copenhagen, Denmark

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414318

Reference19 articles.

1. [n.d.]. PC2 | Xovis. https://www.xovis.com/products/detail/pc2/. (Accessed on 02/01/2020). [n.d.]. PC2 | Xovis. https://www.xovis.com/products/detail/pc2/. (Accessed on 02/01/2020).

2. Modeling space preferences for accurate occupancy prediction during the design phase

3. CAM-STITCH

4. Anooshmita Das Fisayo Caleb Sangogboye and Mikkel Baun Kjærgaard. 2018. Mapping the important sensor limitations to design robust occupant sensing systems. In UbiComp'18. ACM 1156--1161. Anooshmita Das Fisayo Caleb Sangogboye and Mikkel Baun Kjærgaard. 2018. Mapping the important sensor limitations to design robust occupant sensing systems. In UbiComp'18. ACM 1156--1161.

5. Anooshmita Das Fisayo Caleb Sangogboye Emil Stubbe Kolvig Raun and Mikkel Baun Kjærgaard. 2019. HeteroSense: An Occupancy Sensing Framework for Multi-Class Classification for Activity Recognition and Trajectory Detection. In SocialSense'19. ACM 12--17. Anooshmita Das Fisayo Caleb Sangogboye Emil Stubbe Kolvig Raun and Mikkel Baun Kjærgaard. 2019. HeteroSense: An Occupancy Sensing Framework for Multi-Class Classification for Activity Recognition and Trajectory Detection. In SocialSense'19. ACM 12--17.

Cited by 5 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. Sensing within Smart Buildings: A Survey;ACM Computing Surveys;2023-07-13

2. Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition;Sensors;2023-01-06

3. Ten questions concerning human-building interaction research for improving the quality of life;Building and Environment;2022-12

4. Using computer-vision sensors to study the impact of window views on occupancy and self-assessed productivity in flexible working environments: an intervention study;Intelligent Buildings International;2022-07-16

5. CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person Scenarios;CHI Conference on Human Factors in Computing Systems Extended Abstracts;2022-04-27