Computer interface to use head and eyeball movement for handicapped people

Takami, Osamu; Morimoto, Keiko; Ochiai, Tsumoru; Ishimatsu, Takakazu

doi:10.1109/icsmc.1995.537920

Cited by 20 publications

(8 citation statements)

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“…One typical and conventional interface is an on/off switching device, which activates and inactivates the output signal by using the touch sensor, distant sensor and optical sensors. The output signal of these switching devices is used to select the word and items on the computer monitor [7]. Another type of interface device uses information about two-dimensional movement of the user's body [8] [9].…”

Section: Introductionmentioning

confidence: 99%

Pillow-Type Computer Input Device for Serious Spinal Cord Injury

Yu¹,

Ishimatsu²,

Zhang³

et al. 2015

MME

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A pillow type computer input device is proposed. The interface is designed to move computer cursor as the user expect by using his or her head movement. A supporting and care devices around the bed often becomes barriers for the care and assist task for the patient. The proposed pillow type interface is designed not to disturb the care and assist tasks. The head movement of the user is estimated by the four pressure sensors under the pillow. In order to improve the userfriendliness of the interface, the pillow is mounted on the sliding mechanism. Due to these pressure sensors, rotating head movement around the neck and nodding movement of the head can be measured quantitatively. Considering the head movement, the computer cursor is moved by using the original algorithm.

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Section: Introductionmentioning

confidence: 99%

Pillow-Type Computer Input Device for Serious Spinal Cord Injury

Yu¹,

Ishimatsu²,

Zhang³

et al. 2015

MME

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“…However, in most of the current commercial systems, the initial eye or face position are manually given or some conditions are used. In [5], the interface to use head and eye movement for handicapped people was developed, where the user at the beginning of the system was requested to blink his or her eyes during a couple of times so as to localize the eye region through the subtraction of two successive frames. In [4], the user initially clicks on the features to be tracked via a mouse.…”

Section: Introductionmentioning

confidence: 99%

Computer Interface Using Eye Tracking for Handicapped People

Kim

Park

2006

Intelligent Data Engineering and Automated Learning – IDEAL 2006

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Abstract. In this paper, a computer interface for handicapped people is proposed, where input signals are given by eye movement of the handicapped people. Eye movement is detected by neural network (NN)-based texture classifier, which enables our system to be not obliged to constrained environment. To be robust the natural motion of a user, we first detect a user's face using skin-color information, and then detect her or his eyes using neural network (NN)-based texture classifier. After detection of eye movements, the tracking is performed using mean-shift algorithms. We use this eye-tracking system as an interface to control the surrounding system such as audio, TV, light, phone, and so on. The experimental results verify the feasibility and validity of the proposed eye-tracking system to be applicable as an interface for the handicapped people.

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“…To overcome these difficulties, new interface devices have recently been developed based on image processing to detect the movement such as user's eyeball [1], [2] or head [3] [4] as the input to the computer. With the aid of these interfaces, a user can control the computer without attaching special device on his or her body.…”

Section: Figure 1 Present Interface Between User and Computermentioning

confidence: 99%

MEMS and Fiber Optics Sensor-Based Wearable Interface for Medical Applications

Fukuda

Tanaka²,

Feng³

et al.

2005 IEEE International Conference on Systems, Man and Cybernetics

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In recent years, information technology has made remarkable advancement and found increasing, applications in various fields. In the medical field, computer is playing a more important role in assisting the disabled. However, the interface between the disabled and a computer is usually composed of push button and touch sensors that are difficult of use. This research aims to develop a more user-friendly wearable interface using a MEMS (Micro Electro Mechanical System) accelerometer and an optical fiber shape sensor that enable the disabled to use a computer more effectively. To demonstrate the application of this wearable interface, we developed several systems including a sensor fusion system for detecting motion of a human body, a communication device for the disabled to control computer keyboards and appliances, and a rehabilitation device referred to as a data glove. The effectiveness of the interface is demonstrated through several field tests.

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Computer interface to use head and eyeball movement for handicapped people

Cited by 20 publications

References 0 publications

Pillow-Type Computer Input Device for Serious Spinal Cord Injury

Pillow-Type Computer Input Device for Serious Spinal Cord Injury

Computer Interface Using Eye Tracking for Handicapped People

MEMS and Fiber Optics Sensor-Based Wearable Interface for Medical Applications

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