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Sozu: Self-Powered Radio Tags for Building-Scale Activity Sensing

Authors:

Yasha Iravantchi,

Chris HarrisonAuthors Info & Claims

UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Pages 973 - 985

https://doi.org/10.1145/3332165.3347952

Published: 17 October 2019 Publication History

Abstract

Robust, wide-area sensing of human environments has been a long-standing research goal. We present Sozu, a new low-cost sensing system that can detect a wide range of events wirelessly, through walls and without line of sight, at whole-building scale. To achieve this in a battery-free manner, Sozu tags convert energy from activities that they sense into RF broadcasts, acting like miniature self-powered radio stations. We describe the results from a series of iterative studies, culminating in a deployment study with 30 instrumented objects. Results show that Sozu is very accurate, with true positive event detection exceeding 99%, with almost no false positives. Beyond event detection, we show that Sozu can be extended to detect richer signals, such as the state, intensity, count, and rate of events.

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Cited By

Bailey GSeunarine KBaptista De Lima CCarnie MHaymoor ZHyde MJones BJones MPearson JReitmaier TRobinson SSahoo DWilliams A(2024)Older Generation: Self-Powered IoTs, Home-Life and “Ageing Well”Proceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685410(1-14)Online publication date: 13-Oct-2024
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Scott DBringle MFahad IMorales GZahid ASwaminathan S(2024)NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785298:3(1-25)Online publication date: 9-Sep-2024
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Index Terms

Sozu: Self-Powered Radio Tags for Building-Scale Activity Sensing
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Conferences

UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

October 2019

1229 pages

ISBN:9781450368162

DOI:10.1145/3332165

General Chair:
François Guimbretière
Cornell University, USA
,
Program Chairs:
Michael Bernstein
Stanford University, USA
,
Katharina Reinecke
University of Washington, USA

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 October 2019

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October 20 - 23, 2019

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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https://dl.acm.org/doi/10.1145/3679318.3685410
Scott DBringle MFahad IMorales GZahid ASwaminathan S(2024)NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785298:3(1-25)Online publication date: 9-Sep-2024
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Nayar SKlotz JNanda NFridberg M(2024)Cricket: A Self-Powered Chirping PixelACM Transactions on Graphics10.1145/365819643:4(1-11)Online publication date: 19-Jul-2024
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