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Multi-sensor context-awareness in mobile devices and smart artifacts

Authors:

Hans W. Gellersen,

Albercht Schmidt,

Michael BeiglAuthors Info & Claims

Mobile Networks and Applications, Volume 7, Issue 5

Pages 341 - 351

https://doi.org/10.1023/A:1016587515822

Published: 01 October 2002 Publication History

Abstract

The use of context in mobile devices is receiving increasing attention in mobile and ubiquitous computing research. In this article we consider how to augment mobile devices with awareness of their environment and situation as context. Most work to date has been based on integration of generic context sensors, in particular for location and visual context. We propose a different approach based on integration of multiple diverse sensors for awareness of situational context that can not be inferred from location, and targeted at mobile device platforms that typically do not permit processing of visual context. We have investigated multi-sensor context-awareness in a series of projects, and report experience from development of a number of device prototypes. These include development of an awareness module for augmentation of a mobile phone, of the Mediacup exemplifying context-enabled everyday artifacts, and of the Smart-Its platform for aware mobile devices. The prototypes have been explored in various applications to validate the multi-sensor approach to awareness, and to develop new perspectives of how embedded context-awareness can be applied in mobile and ubiquitous computing.

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Cited By

Hu YHu WQuigley A(2024)Towards Enhanced Context Awareness with Vision-based Multimodal InterfacesAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3686646(1-3)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3686646
Hu YSun BAn PLi ZHu WQuigley A(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
https://dl.acm.org/doi/10.1145/3640471.3680450
Hu YYeo HYuan MFan HElvitigala DHu WQuigley A(2023)MicroCamProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109217:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610921
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Index Terms

Multi-sensor context-awareness in mobile devices and smart artifacts
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Reviews

Reviewer: Peter J. Brown

Sensors can capture the context of a user or physical object. This context can, in turn, be used to modify behavior, or to extract information that is germane to the current situation. A theme behind this paper is that, for sensors, small is beautiful: many small and simple sensors are better than fewer, but more complex ones. The paper describes some interesting practical experiments in the use of simple sensors. The experiments cover modifying the behavior of a mobile phone according to context, and making a coffee cup equipped with sensors provide information about its state (then, lots of active coffee cups saying they are in the same room can indicate a meeting). The paper contains very useful practical information and material for further thought on how context-aware applications will evolve. Online Computing Reviews Service

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Information & Contributors

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Published In

cover image Mobile Networks and Applications

Mobile Networks and Applications Volume 7, Issue 5

October 2002

78 pages

ISSN:1383-469X

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Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 October 2002

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Hu YHu WQuigley A(2024)Towards Enhanced Context Awareness with Vision-based Multimodal InterfacesAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3686646(1-3)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3686646
Hu YSun BAn PLi ZHu WQuigley A(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
https://dl.acm.org/doi/10.1145/3640471.3680450
Hu YYeo HYuan MFan HElvitigala DHu WQuigley A(2023)MicroCamProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109217:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610921
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