ARFF **Author**: Renata Cristina Barros Madeo (Madeo","R. C. B.) Priscilla Koch Wagner (Wagner","P. K.) Sarajane Marques Peres (Peres","S. M.) {renata.si","priscilla.wagner","sarajane} at usp.br http://each.uspnet.usp.br/sarajane/ **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/gesture+phase+segmentation) **Please cite**: Please refer to the [Machine Learning Repository's citation policy](https://archive.ics.uci.edu/ml/citation_policy.html). Additionally, the authors require a citation to one or more publications from those cited as relevant papers. Creators: Renata Cristina Barros Madeo (Madeo, R. C. B.) Priscilla Koch Wagner (Wagner, P. K.) Sarajane Marques Peres (Peres, S. M.) {renata.si, priscilla.wagner, sarajane} at usp.br http://each.uspnet.usp.br/sarajane/ Donor: University of Sao Paulo - Brazil Data Set Information: The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is represented by two files: a raw file, which contains the position of hands, wrists, head and spine of the user in each frame; and a processed file, which contains velocity and acceleration of hands and wrists. See the data set description for more information on the dataset. Attribute Information: Raw files: 18 numeric attributes (double), a timestamp and a class attribute (nominal). Processed files: 32 numeric attributes (double) and a class attribute (nominal). A feature vector with up to 50 numeric attributes can be generated with the two files mentioned above. This is the processed data set with the following feature description: Processed files: 1. Vectorial velocity of left hand (x coordinate) 2. Vectorial velocity of left hand (y coordinate) 3. Vectorial velocity of left hand (z coordinate) 4. Vectorial velocity of right hand (x coordinate) 5. Vectorial velocity of right hand (y coordinate) 6. Vectorial velocity of right hand (z coordinate) 7. Vectorial velocity of left wrist (x coordinate) 8. Vectorial velocity of left wrist (y coordinate) 9. Vectorial velocity of left wrist (z coordinate) 10. Vectorial velocity of right wrist (x coordinate) 11. Vectorial velocity of right wrist (y coordinate) 12. Vectorial velocity of right wrist (z coordinate) 13. Vectorial acceleration of left hand (x coordinate) 14. Vectorial acceleration of left hand (y coordinate) 15. Vectorial acceleration of left hand (z coordinate) 16. Vectorial acceleration of right hand (x coordinate) 17. Vectorial acceleration of right hand (y coordinate) 18. Vectorial acceleration of right hand (z coordinate) 19. Vectorial acceleration of left wrist (x coordinate) 20. Vectorial acceleration of left wrist (y coordinate) 21. Vectorial acceleration of left wrist (z coordinate) 22. Vectorial acceleration of right wrist (x coordinate) 23. Vectorial acceleration of right wrist (y coordinate) 24. Vectorial acceleration of right wrist (z coordinate) 25. Scalar velocity of left hand 26. Scalar velocity of right hand 27. Scalar velocity of left wrist 28. Scalar velocity of right wrist 29. Scalar velocity of left hand 30. Scalar velocity of right hand 31. Scalar velocity of left wrist 32. Scalar velocity of right wrist 33. phase: - D (rest position, from portuguese "descanso") - P (preparation) - S (stroke) - H (hold) - R (retraction) Relevant Papers: 1. Madeo, R. C. B. ; Lima, C. A. M. ; PERES, S. M. . Gesture Unit Segmentation using Support Vector Machines: Segmenting Gestures from Rest Positions. In: Symposium on Applied Computing (SAC), 2013, Coimbra. Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC), 2013. p. 46-52. * In this paper, the videos A1 and A2 were studied. 2. Wagner, P. K. ; PERES, S. M. ; Madeo, R. C. B. ; Lima, C. A. M. ; Freitas, F. A. . Gesture Unit Segmentation Using Spatial-Temporal Information and Machine Learning. In: 27th Florida Artificial Intelligence Research Society Conference (FLAIRS), 2014, Pensacola Beach. Proceedings of the 27th Florida Artificial Intelligence Research Society Conference (FLAIRS). Palo Alto : The AAAI Press, 2014. p. 101-106. * In this paper, the videos A1, A2, A3, B1, B3, C1 and C3 were studied. 3. Madeo, R. C. B.. Support Vector Machines and Gesture Analysis: incorporating temporal aspects (in Portuguese). Master Thesis - Universidade de Sao Paulo, Sao Paulo Researcher Foundation. 2013. * In this document, the videos named B1 and B3 in the document correspond to videos C1 and C3 in this dataset. Only five videos were explored in this document: A1, A2, A3, C1 and C3. 4. Wagner, P. K. ; Madeo, R. C. B. ; PERES, S. M. ; Lima, C. A. M. . Segmentaçao de Unidades Gestuais com Multilayer Perceptrons (in Portuguese). In: Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2013, Fortaleza. Anais do X Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2013. * In this paper, the videos A1, A2 and A3 were studied. Citation Request: Please refer to the Machine Learning Repository's citation policy. Additionally, the authors require a citation to one or more publications from those cited as relevant papers. GesturePhaseSegmentationProcessed https://www.openml.org/data/download/1798765/phpYLeydd public 2016-01-20T12:08:52Z Phase 1 GesturePhaseSegmentationProcessed 16 Public 26327 1 2016-01-17T10:42:33Z active