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Interacting with the kiwi move: a platform for motion-based applications

Published: 26 April 2014 Publication History

Abstract

The Kiwi move is an internet-enabled motion-sensing device used to track activity, trace motion, automate homes, and secure valuables. By using the Kiwi Application Programming Interface (API) developers can build motion-based applications on our sensor platform, satisfying multiple use cases while avoiding the details of hardware implementation.

References

[1]
Ashton, Kevin. "That 'Internet of Things' Thing, in the real world things matter more than ideas". RFID Journal. June 22, 2009.
[2]
De Roeck, D., Slegers, K., Criel J., Godon M., Claeys, L., Kilpi An Jacobs, K. I would DiYSE for it! a manifesto for do-it-yourself internet-of-things creation. In Proc. NordiCHI '12, ACM Press (2012), 170--179.
[3]
Patel, P., Pathak, A., Teixeira, T., Issarny, V. Towards application development for the internet of things. In Proc. MDS'11, ACM Press (2011) Article No. 5.
[4]
Kiwi Wearables Website http://www.kiwiwearables.com

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Published In

cover image ACM Conferences
CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
April 2014
2620 pages
ISBN:9781450324748
DOI:10.1145/2559206
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2014

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Author Tags

  1. internet of things
  2. motion-sensing
  3. wearable technology

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  • Short-paper

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CHI '14
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CHI '14: CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2014
Ontario, Toronto, Canada

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CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
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