Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
2. University of California, Merced, Merced, CA, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3376897.3379162
Reference3 articles.
1. Multiple Pedestrian Tracking through Ambient Structural Vibration Sensing
2. Toward Tracking Multiple Building Occupants by Footstep Vibrations
3. Device-free Multiple People Localization through Floor Vibration
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. A Multi-Sensor Stochastic Energy-Based Vibro-Localization Technique with Byzantine Sensor Elimination;Sensors;2023-11-21
2. AutoLoc: Autonomous Sensor Location Configuration via Cross Modal Sensing;Frontiers in Big Data;2022-03-28
3. VibroSense;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2020-09-04
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