Tracking Conductors Hand Movements Using Multiple Wiimotes

Bradshaw, David P.; Ng, Kia

doi:10.1109/axmedis.2008.40

Cited by 20 publications

(4 citation statements)

References 4 publications

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“…Of the three, the oldest Nintendo Wiimote is of particular interest as it presents a low-cost yet reasonably accurate means to capture motion or gesture data [1,5]. Furthermore, the Wiimote can be set up easily and connected to a computer via a USB Bluetooth transceiver.…”

Section: Gesture and Motion Detection Devicesmentioning

confidence: 99%

The Design of a Web-Based Multimedia Sport Instructional System

Takano

Johnson

2011

2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications

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With the advances in computer technology, many systems have been developed for educational and instructional purposes. In particular, a computer-based system is very attractive in sports instruction and training as compared to the traditional human coaching approach, saving time, space, and cost. Among several important technical issues to be resolved in such sports instructional systems, motion or gesture capture and the organization of the database are the major ones. Of course, the most successful implementations are the systems from the gaming industry. In this work, we briefly discuss these commercial technologies and systems. A prototype system for learning tennis is introduced. Various techniques for motion capture are described and discussed. An event-based motion detecting and matching algorithm for capturing tennis swings from people of different size is presented. Finally, a framework for a Web-based generic sport system is presented.

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Section: Gesture and Motion Detection Devicesmentioning

confidence: 99%

The Design of a Web-Based Multimedia Sport Instructional System

Takano

Johnson

2011

2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications

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“…Our system uses the depth image sensor Xbox 360 Kinect (Microsoft, Redmond, WA, USA, 2013) to capture the required skeleton image of the human body [27], which includes 20 feature points [28]. As in previous literature, for musical gesture recognition, only palm feature points are required [29]. For robustness, there are three inputs in our system, including the original input, a skeleton model, and the depth image, as shown in Figure 3.…”

Section: Hand Trackingmentioning

confidence: 99%

Real-Time Musical Conducting Gesture Recognition Based on a Dynamic Time Warping Classifier Using a Single-Depth Camera

Chin-Shyurng

Lee

2019

Applied Sciences

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Gesture recognition is a human−computer interaction method, which is widely used for educational, medical, and entertainment purposes. Humans also use gestures to communicate with each other, and musical conducting uses gestures in this way. In musical conducting, conductors wave their hands to control the speed and strength of the music played. However, beginners may have a limited comprehension of the gestures and might not be able to properly follow the ensembles. Therefore, this paper proposes a real-time musical conducting gesture recognition system to help music players improve their performance. We used a single-depth camera to capture image inputs and establish a real-time dynamic gesture recognition system. The Kinect software development kit created a skeleton model by capturing the palm position. Different palm gestures were collected to develop training templates for musical conducting. The dynamic time warping algorithm was applied to recognize the different conducting gestures at various conducting speeds, thereby achieving real-time dynamic musical conducting gesture recognition. In the experiment, we used 5600 examples of three basic types of musical conducting gestures, including seven capturing angles and five performing speeds for evaluation. The experimental result showed that the average accuracy was 89.17% in 30 frames per second.

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“…Synchronization of cameras in MSCMS-II isn't taken into account, it is probably because that cameras are connected with computer by Bluetooth. Even other systems similar with MSCMS-II consider the synchronization of cameras barely [10][11][12][13][14], except for Thomas Pintaric who used hardware synchronization [15]. Synchronization of the measurements plays an important part in the multi-sensor-systems [16].…”

Section: Importance Of Camera Synchronization In Ir-based Lsvlsmentioning

confidence: 99%

Synchronous Issue of IR-Based Large Scale Volume Localization System

2014

AMM

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IR-based large scale volume localization system (LSVLS) can localize the mobile robot working in large volume, which is constituted referring to the MSCMS-II. Hundreds cameras in LSVLS must be connected to the control station (PC) through network. Synchronization of cameras which are mounted on different control stations is significant, because the image acquisition of the target must be synchronous to ensure that the target is localized precisely. Software synchronization method is adopted to ensure the synchronization of camera. The mean value of standard deviation of eight cameras mounted on two workstations is 12.53ms, the localization performance of LSVLS is enhanced.

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Tracking Conductors Hand Movements Using Multiple Wiimotes

Cited by 20 publications

References 4 publications

The Design of a Web-Based Multimedia Sport Instructional System

The Design of a Web-Based Multimedia Sport Instructional System

Real-Time Musical Conducting Gesture Recognition Based on a Dynamic Time Warping Classifier Using a Single-Depth Camera

Synchronous Issue of IR-Based Large Scale Volume Localization System

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