LDA Based Method for Online Punch Segmentation and Recognition

Liu, Wei; Fernando, Owen Noel Newton; Cheok, Adrian David; Wijesena, Janaka Prasad; Tan, Roger Thomas Kok Chuen

doi:10.1109/dmamh.2007.74

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Cited by 5 publications

(2 citation statements)

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“…Jing et al [8] proposed a system to recognise ten typical punch types from a 7-camera Eagle motion capture system. This though is not applicable for action recognition in competitions due to the requirement for the athletes to wear physical markers, etc.…”

Section: Introductionmentioning

confidence: 99%

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Fine-grained action recognition of boxing punches from depth imagery

Kasiri

Fookes

Sridharan

et al. 2017

Computer Vision and Image Understanding

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Section: Introductionmentioning

confidence: 99%

“…While the demand for automated analysis of a boxer's movements is increasing, there has been very limited effort expended * Corresponding author to date by the research community to solve this open challenge [5][6][7][8][9]. Jing et al [8] proposed a system to recognise ten typical punch types from a 7-camera Eagle motion capture system.…”

Section: Introductionmentioning

confidence: 99%

Fine-grained action recognition of boxing punches from depth imagery

Kasiri

Fookes

Sridharan

et al. 2017

Computer Vision and Image Understanding

View full text Add to dashboard Cite

A machine learning driven approach for multivariate timeseries classification of box punches using smartwatch accelerometer sensordata

Wagner

Jäger

Wolff

et al. 2019

2019 Innovations in Intelligent Systems and Applications Conference (ASYU)

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The Research & Application of Digital Media Exhibition Technology (DMET) in the Small City's Museum

Ding

Sizhong

2009

2009 2nd International Congress on Image and Signal Processing

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Based on the analysis of the development and technical elements of the DMET, this paper discusses the possibility of DMET applied to the museum. It focus on the characteristics and limitations of traditional operation of the City's, in particular, the small-scale city's museum, with the help of a specific case study, and researches the technical framework and applied areas of DMET's application in the small city's museum. Finally, this paper discusses which types of functions expansion of museum can be caused by the application of DMET to small city's museum.

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LDA Based Method for Online Punch Segmentation and Recognition

Cited by 5 publications

References 7 publications

Fine-grained action recognition of boxing punches from depth imagery

Fine-grained action recognition of boxing punches from depth imagery

A machine learning driven approach for multivariate timeseries classification of box punches using smartwatch accelerometer sensordata

The Research & Application of Digital Media Exhibition Technology (DMET) in the Small City's Museum

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