Gesture recognition system for wheelchair control using a depth sensor

Kawarazaki, Noriyuki; Diaz, Alejandro Israel Barragan

doi:10.1109/cirat.2013.6613822

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…The study of human-computer interactions has become increasingly prevalent and is applied in gaming, education, and health care [1][2][3]. Traditional human-computer interaction is based on an optical camera, which is unable to provide depth information on an object, limiting its application.…”

Section: Introductionmentioning

confidence: 99%

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

Su¹,

Huang

Shih

et al. 2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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This paper presents a Kinect-based midair handwritten number recognition that can be used to dial a phone number and set a countdown timer. When cooking in the kitchen, making a phone call or setting a kitchen timer is often inconvenient. This number recognition system was based on previous studies of television remote controls. An average recognition accuracy of 94.6% was achieved for each number by using multiple segments and scaled coding. Two Android apps were developed for the recognition system. In addition, the fourdirection recognition system developed in a previous study was improved, increasing the recognition reliability. Experimental results verified the effectiveness of the system.

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Section: Introductionmentioning

confidence: 99%

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

Su¹,

Huang

Shih

et al. 2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…Zhang, J. Zhang and Y. Luo presented an intelligent system which is the hand gestures [1]. Noriyuki Kawarazaki and Alejandro Israel Barragan Diaz proposed a system used depth sensors [2]. E. Ramirez, H. Hu and K. Maier proposed the system which uses the head movements [3].…”

Section: Introductionmentioning

confidence: 99%

“…E. Ramirez, H. Hu and K. Maier proposed the system which uses the head movements [3]. Kawarazaki [4] presented a depth sensor based system. The wheelchair moves according to the position of the hand.…”

Section: Introductionmentioning

confidence: 99%

The Comparative Analysis of a Vision Based HGR System Used for Handicapped People

Bankar¹,

Salankar²

2019

EJERS

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The object tracking is critical to visual / video surveillance, analysis of the activity and gesture recognition. The major difficulties to be occurred in the visual tracking are different environmental conditions, illumination changes, occlusion and appearance. In this paper, the comparative analysis of the different systems which are used to recognize the head gestures under different environmental conditions is discussed. The existing algorithm used to recognize the head gestures has some limitations. The existing algorithm cannot work under outdoor environmental conditions. The traditional camshift algorithm and unscented kalman filter are integrated and used to recognize the head gestures under outdoor environmental conditions. The unscented kalman filter is a tracking algorithm used to remove the limitations of the traditional camshift algorithm. The simulation result shows the better performance of the improved algorithm than the traditional camshift algorithm.

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Research on Manipulator Control Based on RGB-D Sensor

Wan

Luo

et al. 2022

Computational and Experimental Simulations in Engineering

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Gesture recognition system for wheelchair control using a depth sensor

Cited by 9 publications

References 5 publications

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

The Comparative Analysis of a Vision Based HGR System Used for Handicapped People

Research on Manipulator Control Based on RGB-D Sensor

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