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Comma Separated Values - 4.3 KB - MD5: 77dda5e538c3dcb05caccb25df1dd17e
Spanish-speaking participants' responses to the background questionnaire.
Adobe PDF - 2.1 MB - MD5: 4e572f08eaa5506026ff7ffe85fd4028
PDF output of the R Markdown script used to analyze participants' cross-language and second-language vowel categorization responses.
R Notebook - 91.2 KB - MD5: 05b4d05f16d0b13c88ec994d79de162b
R Markdown for the analysis of participants' cross-language and second-language vowel categorizations.
Adobe PDF - 912.1 KB - MD5: 472f9e6284140f82356af2de874c6d6d
PDF output of the R Markdown script used to generate cross-language vowel categorization predictions based on acoustic similarity models.
R Notebook - 81.9 KB - MD5: e9d4e3c0e923cfd586c4f4b44853d1f1
R Markdown for predicting cross-language acoustic similarity.
Jan 29, 2026 - Western Norway University of Applied Sciences
Motzfeldt Tirach, Raquel, 2026, "Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation", https://doi.org/10.18710/4EWI6I, DataverseNO, V1
This dataset contains data within the field of human motion estimation for stroke rehabilitation. It is used in the article named "Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation". This dataset comprises motion data collected from 16 healthy participants (5 women and 11 men, aged 23-43) engaged in upper body...
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