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5 Publikationen

2018 | Datenpublikation | PUB-ID: 2930611
F. Hülsmann, et al., 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, 2018.
PUB | Dateien verfügbar | DOI
 
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469
B. Hosseini, et al., “Non-Negative Kernel Sparse Coding for the Analysis of Motion Data”, Artificial Neural Networks and Machine Learning – ICANN 2016, A. E.P. Villa, P. Masulli, and A. Javier Pons Rivero, eds., Lecture Notes in Computer Science, vol. 9887, Cham: Springer, 2016, pp.506-514.
PUB | PDF | DOI | Download (ext.) | arXiv
 
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165
B. Hosseini and B. Hammer, “Efficient Metric Learning for the Analysis of Motion Data”, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Piscataway, NJ: IEEE, 2015.
PUB | DOI | Download (ext.) | arXiv
 
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2394584
C. Schütz, et al., “Motor Control Strategies in a Continuous Task Space”, Motor Control, vol. 15, 2011, pp. 321-341.
PUB | DOI | WoS | PubMed | Europe PMC
 
2010 | Bielefelder E-Dissertation | PUB-ID: 2303000
B. Barrois, Analyse der Position, Orientierung und Bewegung von rigiden und artikulierten Objekten aus Stereobildsequenzen, Bielefeld (Germany): Bielefeld University, 2010.
PUB | PDF
 

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