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5 Publikationen

2018 | Datenpublikation | PUB-ID: 2930611
Hülsmann, F., et al., 2018. Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes (Data), Bielefeld University.
PUB | Dateien verfügbar | DOI
 
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469
Hosseini, B., et al., 2016. Non-Negative Kernel Sparse Coding for the Analysis of Motion Data. In A. E.P. Villa, P. Masulli, & A. Javier Pons Rivero, eds. Artificial Neural Networks and Machine Learning – ICANN 2016. Lecture Notes in Computer Science. no.9887 Cham: Springer, pp. 506-514.
PUB | PDF | DOI | Download (ext.) | arXiv
 
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165
Hosseini, B., & Hammer, B., 2015. Efficient Metric Learning for the Analysis of Motion Data. In 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE.
PUB | DOI | Download (ext.) | arXiv
 
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2394584
Schütz, C., et al., 2011. Motor Control Strategies in a Continuous Task Space. Motor Control, 15(3), p 321-341.
PUB | DOI | WoS | PubMed | Europe PMC
 
2010 | Bielefelder E-Dissertation | PUB-ID: 2303000
Barrois, B., 2010. Analyse der Position, Orientierung und Bewegung von rigiden und artikulierten Objekten aus Stereobildsequenzen, Bielefeld (Germany): Bielefeld University.
PUB | PDF
 

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