Abstract
In this paper, we present GrabAmps, an intuitive interface that allows users to simply grab a bundled cable and get feedback on the AC (Alternating Current) current flow through it. Single phase and three phase AC was estimated with a regression model developed using principles of applied electromagnetism. This regression model is embedded into a standalone glove with a display attached at the rear so that the users can intuitively read the current consumption information. The users may configure the glove to detect AC single phase or AC three phase current using the same sensor setup on the glove. End users such as electrical engineers and electricians who frequently wear gloves during their work can benefit from GrabAmp to identify a wire that is live, or even grab and move along a wire to trace any potential failures. We believe GrabAmps can potentially speed up maintenance processes and monitor equipment more efficiently without downtime, which is increasingly important for data centres and other critical infrastructure.
Original language | English |
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Title of host publication | Proceedings of the 8th Augmented Human International Conference |
Editors | Jean-Marc Seigneur, Suranga Nanayakkara, Joe Paradiso |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 4 |
ISBN (Electronic) | 9781450348355 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | Augmented Human International Conference 2017 - Mountain View, Silicon Valley, United States of America Duration: 16 Mar 2017 → 18 Mar 2017 Conference number: 8th https://dl.acm.org/doi/proceedings/10.1145/3041164 (Proceedings) |
Conference
Conference | Augmented Human International Conference 2017 |
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Abbreviated title | AH 2017 |
Country/Territory | United States of America |
City | Mountain View, Silicon Valley |
Period | 16/03/17 → 18/03/17 |
Internet address |
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Keywords
- Augmented glove
- Intuitive interfaces
- Non-invasive current sensing