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Software . 2022
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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Software . 2022
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: ZENODO
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TugTestSmartwatch: WearOS application for TUG test self-assessment

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Jan 2022Publisher:Zenodo
Authors: Miguel Matey-Sanz;
Code repository: https://github.com/matey97/TugTestSmartwatch/tree/v1.0.0

doi: 10.5281/zenodo.5916876

TugTestSmartwatch: WearOS application for TUG test self-assessment

Abstract

First release of TugTestSmartwatch. This application, with a paired smartphone running TugTestSmartPhone, collects accelerometer and gyroscope data from device embedded sensor and sends the collected data to the paired smartphone. While the behaviour is quite generic, the application use is for the self-assessment of the TUG test. Tha application allows two operation modes: TUG: the collected data sent to the smartphone is used for activity inference in the context of the TUG test. COLLECTION: the collected data sent to the smartphone is directly stored in a file for further processing.

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selected citations
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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).
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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!
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