research-article

EagleSense: Tracking People and Devices in Interactive Spaces using Real-Time Top-View Depth-Sensing

Authors:

Nicolai MarquardtAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 3929 - 3942

https://doi.org/10.1145/3025453.3025562

Published: 02 May 2017 Publication History

Abstract

Real-time tracking of people's location, orientation and activities is increasingly important for designing novel ubiquitous computing applications. Top-view camera-based tracking avoids occlusion when tracking people while collaborating, but often requires complex tracking systems and advanced computer vision algorithms. To facilitate the prototyping of ubiquitous computing applications for interactive spaces, we developed EagleSense, a real-time human posture and activity recognition system with a single top-view depth-sensing camera. We contribute our novel algorithm and processing pipeline, including details for calculating silhouette-extremities features and applying gradient tree boosting classifiers for activity recognition optimized for top-view depth sensing. EagleSense provides easy access to the real-time tracking data and includes tools for facilitating the integration into custom applications. We report the results of a technical evaluation with 12 participants and demonstrate the capabilities of EagleSense with application case studies.

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Cited By

De Silva MGoodwin SHolloway LButler M(2023)Understanding Challenges and Opportunities in Body Movement Education of People who are Blind or have Low VisionProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608409(1-19)Online publication date: 22-Oct-2023
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Li RSeyed TMarquardt NOfek EHodges SSinclair MRomat HPahud MSharma JBuxton WHinckley KRiche N(2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
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Index Terms

EagleSense: Tracking People and Devices in Interactive Spaces using Real-Time Top-View Depth-Sensing
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

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https://dl.acm.org/doi/10.1145/3597638.3608409
Li RSeyed TMarquardt NOfek EHodges SSinclair MRomat HPahud MSharma JBuxton WHinckley KRiche N(2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581300
Ye HLeng JXiao CWang LFu H(2023)ProObjAR: Prototyping Spatially-aware Interactions of Smart Objects with AR-HMDProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580750(1-15)Online publication date: 19-Apr-2023
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https://dl.acm.org/doi/10.1145/3432937
Xia CSugiura Y(2021)From Virtual to Real World: Applying Animation to Design the Activity Recognition SystemExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451677(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451677
He WZhao VMorkved OSiddiqui SFernandes EHester JUr B(2021)SoK: Context Sensing for Access Control in the Adversarial Home IoT2021 IEEE European Symposium on Security and Privacy (EuroS&P)10.1109/EuroSP51992.2021.00014(37-53)Online publication date: Sep-2021
https://doi.org/10.1109/EuroSP51992.2021.00014
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