Hand gesture coding based on experiments using a hand gesture interface device

Takahashi, Tomoichi; Kishino, Fumio

doi:10.1145/122488.122499

Cited by 117 publications

(45 citation statements)

References 2 publications

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“…Data gloves have also often been used for sign language recognition research ( [10]; [7]). Data gloves, such as AccelGolves [4] and VPL Data Glove [12], are usually equipped with bending sensors and accelerometers that measure rotation and movement of hand and finger flex angles.…”

Section: Related Workmentioning

confidence: 99%

Bi-channel sensor fusion for automatic sign language recognition

Kim

Wagner

Rehm

et al. 2008

2008 8th IEEE International Conference on Automatic Face &Amp; Gesture Recognition

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Section: Related Workmentioning

confidence: 99%

Bi-channel sensor fusion for automatic sign language recognition

Kim

Wagner

Rehm

et al. 2008

2008 8th IEEE International Conference on Automatic Face &Amp; Gesture Recognition

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“…In Greek, Roman and Assyrian [2] countries, the body and Hands are used to represent alphabets and certainly finger calculus System was widespread. Later on, European monk shave made use of Manual communication including alphabetic gesture [3]. Our main aim of having a MECHATRONIC arm is for sign languages that is frequently used by deaf and dumb people so that they can make conversation .…”

Section: Introductionmentioning

confidence: 99%

An Approach towards Dactylology with Motor Controlled Artificial Arm

Chowdhury¹,

Das²,

Das³

et al. 2014

IJAREEIE

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ABSTRACT:One particular application of gesture-based systems is to implement a speaking aid for the dumb. For this to happen, it requires modelling of a dactylological artificial hand by incorporating study of the hand movement for the dumb people. In this aspect the Finger and Wrist position with Degrees Of Freedom (D.O.F) is calculated, the prototype model representation of the dactylological artificial hand is done .The different positions of the motors in the hand is shown for letters and numbers, the motor movement database for generating any signal is attached. The driving Algorithm and the process flow graph for the stepper motor controlled artificial hand is implemented .This attempt would provide flexibility in communication with the dumb people who are not capable to communicate with the physical world verbally. Moreover, an attempt is taken on furnishing the hardware implementation of producing an ideal Dactylological Artificial hand which tends to be a pre-innovative work in the varied field of artificial intelligence.

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“…For example, the system of Takahashi and Kishimo provides reliable recognition of Japanese Sign Language [19]. Unfortunately, data-gloves restrict movements by tying a user to the compute via a cable.…”

Section: Introductionmentioning

confidence: 99%

An appearance-based approach to gesture-recognition

Martin¹,

Crowley²

1997

Image Analysis and Processing

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Abstract. This paper describes techniques for the design of a system able to interact with the user by visual recognition of hand gestures. The system is composed of three modules including tracldng, posture classification and gesture recognition. A description of each module is given. In order to increase the robustness and the precision of the tracking, several complementary tracking processes are coupled. A classification process is presented for recognizing hand posture using distance in an eigenspace. The classification of hand posture leads to the gesture recognition by a set of finite state machines.

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Hand gesture coding based on experiments using a hand gesture interface device

Cited by 117 publications

References 2 publications

Bi-channel sensor fusion for automatic sign language recognition

Bi-channel sensor fusion for automatic sign language recognition

An Approach towards Dactylology with Motor Controlled Artificial Arm

An appearance-based approach to gesture-recognition

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