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Fehse, U.; Schmitz, G.; Hartwig, D.; Ghai, S.; Brock, H.; Effenberg, A.O.: Auditory coding of reaching space. In: Applied Sciences 10 (2020), Nr. 2, 429. DOI: https://doi.org/10.3390/app10020429

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/9900

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Sum total of downloads: 87




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Abstract: 
Reaching movements are usually initiated by visual events and controlled visually and kinesthetically. Lately, studies have focused on the possible benefit of auditory information for localization tasks, and also for movement control. This explorative study aimed to investigate if it is possible to code reaching space purely by auditory information. Therefore, the precision of reaching movements to merely acoustically coded target positions was analyzed. We studied the efficacy of acoustically effect-based and of additional acoustically performance-based instruction and feedback and the role of visual movement control. Twenty-four participants executed reaching movements to merely acoustically presented, invisible target positions in three mutually perpendicular planes in front of them. Effector-endpoint trajectories were tracked using inertial sensors. Kinematic data regarding the three spatial dimensions and the movement velocity were sonified. Thus, acoustic instruction and real-time feedback of the movement trajectories and the target position of the hand were provided. The subjects were able to align their reaching movements to the merely acoustically instructed targets. Reaching space can be coded merely acoustically, additional visual movement control does not enhance reaching performance. On the basis of these results, a remarkable benefit of kinematic movement acoustics for the neuromotor rehabilitation of everyday motor skills can be assumed.
License of this version: CC BY 4.0 Unported
Document Type: Article
Issue Date: 2020
Appears in Collections:Philosophische Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 37 42.53%
2 image of flag of United States United States 26 29.89%
3 image of flag of China China 8 9.20%
4 image of flag of No geo information available No geo information available 4 4.60%
5 image of flag of Vietnam Vietnam 2 2.30%
6 image of flag of Bulgaria Bulgaria 2 2.30%
7 image of flag of Ukraine Ukraine 1 1.15%
8 image of flag of Taiwan Taiwan 1 1.15%
9 image of flag of Kazakhstan Kazakhstan 1 1.15%
10 image of flag of Canada Canada 1 1.15%
    other countries 4 4.60%

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