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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Conference object . 2023
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Haptic Feedback in Running

Is It Possible for Information Transfer through Electrical Muscle Signalling?
Authors: Kevin Lu; Aarnout Brombacher;

Haptic Feedback in Running

Abstract

A haptic feedback mechanism is explored for personalized data interaction. Electrical muscle stimulation under the level of full contraction, in this paper described as electrical muscle signalling (EMS), is used for on-body and live data interactions as simplified cognitive processes for running purposes, such as data-assisted coaching, personalized feedback and injury prevention. In this research, we defined haptic electrical muscle signalling as feedback mechanism and the results concluded that (i.) muscle signalling under the level of contraction can be noticed in the form of pre-cramps, similar to a vibrating/contracting type of feedback on the skin, (ii.) feedback is able to trigger cognitive processes while running (iii.) and it does not negatively impact running performance or comfort. This is on-going research and future work is already in progress.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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