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Lightweight material detection for placement-aware mobile computing

Published: 19 October 2008 Publication History

Abstract

Numerous methods have been proposed that allow mobile devices to determine where they are located (e.g., home or office) and in some cases, predict what activity the user is currently engaged in (e.g., walking, sitting, or driving). While useful, this sensing currently only tells part of a much richer story. To allow devices to act most appropriately to the situation they are in, it would also be very helpful to know about their placement - for example whether they are sitting on a desk, hidden in a drawer, placed in a pocket, or held in one's hand - as different device behaviors may be called for in each of these situations. In this paper, we describe a simple, small, and inexpensive multispectral optical sensor for identifying materials in proximity to a device. This information can be used in concert with e.g., location information, to estimate, for example, that the device is "sitting on the desk at home", or "in the pocket at work". This paper discusses several potential uses of this technology, as well as results from a two-part study, which indicates that this technique can detect placement at 94.4% accuracy with real-world placement sets.

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Cited By

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  • (2024)ViObjectProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435478:1(1-26)Online publication date: 6-Mar-2024
  • (2024)MultiSurf-GPT: Facilitating Context-Aware Reasoning with Large-Scale Language Model Agents for Multimodal Surface SensingAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680450(1-6)Online publication date: 21-Sep-2024
  • (2024)Contactless Material Identification Based on Millimeter-wave Radar and Residual Network2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)10.1109/ICSIDP62679.2024.10868793(1-6)Online publication date: 22-Nov-2024
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cover image ACM Conferences
UIST '08: Proceedings of the 21st annual ACM symposium on User interface software and technology
October 2008
308 pages
ISBN:9781595939753
DOI:10.1145/1449715
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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Publication History

Published: 19 October 2008

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Author Tags

  1. cell phones
  2. context-aware
  3. laptops
  4. location
  5. material detection
  6. mobile devices
  7. pdas
  8. placement detection
  9. sensors
  10. situationally appropriate interaction

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

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Cited By

View all
  • (2024)ViObjectProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435478:1(1-26)Online publication date: 6-Mar-2024
  • (2024)MultiSurf-GPT: Facilitating Context-Aware Reasoning with Large-Scale Language Model Agents for Multimodal Surface SensingAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680450(1-6)Online publication date: 21-Sep-2024
  • (2024)Contactless Material Identification Based on Millimeter-wave Radar and Residual Network2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)10.1109/ICSIDP62679.2024.10868793(1-6)Online publication date: 22-Nov-2024
  • (2023)Testing Masks and Air Filters With Your SmartphonesProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625807(265-279)Online publication date: 12-Nov-2023
  • (2023)MicroCamProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109217:3(1-28)Online publication date: 27-Sep-2023
  • (2023)SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU DataProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606821(1-11)Online publication date: 29-Oct-2023
  • (2023)LaserShoes: Low-Cost Ground Surface Detection Using Laser Speckle ImagingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581344(1-20)Online publication date: 19-Apr-2023
  • (2022)Human-Machine Cooperative Echolocation Using UltrasoundIEEE Access10.1109/ACCESS.2022.322446810(125264-125278)Online publication date: 2022
  • (2022)Accurate Contact-Free Material Recognition with Millimeter Wave and Machine LearningWireless Algorithms, Systems, and Applications10.1007/978-3-031-19214-2_51(609-620)Online publication date: 17-Nov-2022
  • (2021)SensiCut: Material-Aware Laser Cutting Using Speckle Sensing and Deep LearningThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474733(24-38)Online publication date: 10-Oct-2021
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