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With the phenomenal increase in image and video databases, there is an increase in the human-computer interaction that recognizes Sign Language. Exchanging information using different gestures between two people is sign language, known as non-verbal ...

Human activity recognition (HAR) is an essential system that helps to identify, track and recognise human activities with the help of learning-based approaches in diverse areas of HCI, surveillance, health monitoring system, etc. The performance of the ...

Validation and test is an enabling factor of the autonomous driving for a wide range of applications, especially for vision-based applications. Deep learning methods has been widely deployed in vision-based applications of autonomous driving and has ...

Wearable sensors are being widely used to monitor daily human activities and vital signs. Accelerometer-based step counters are commonly available, especially after being integrated into smartphones and smart watches. Moreover, accelerometer data is ...

This paper proposes a human computer interface using a single depth camera for quadriplegic people. The nose position is employed to control the cursor along with the commands provided by mouth's status. The detection of nose position and mouth's status ...

Eye tracking is compelling for hands-free interaction with pervasive displays. However, most existing eye tracking systems require specialised hardware and explicit calibrations of equipment and individual users, which inhibit their widespread adoption. ...

Center/Surround C/S model of human vision has hinted to improve the sharpness, contrast, and color-tones. To recreate a viewer's sensation in realistic scenes, visual Tone Mapping Operators TMOs have been actively developed during past decade and now ...

Designing a user friendly Chinese input system is a challenging task due to the logographic nature of Chinese characters. Using fingertips and cameras to replace pens and touch panels as input devices could reduce the cost and improve ease-of-use and ...

In this paper, a multi-touch analyzing algorithm is presented to meet the requirements of the educational application. The proposed algorithm is designed for the purpose of multi-camera, high efficiency and low CPU consumption, which includes background ...

In this paper, we present a two-stage vision-based approach to detect front and rear vehicle views in road scene images using eigenspace and a support vector machine for classification. The first stage is hypothesis generation (HG), in which potential ...

This paper proposes a vision-based human modeling by using both analytical property of human body performance and the concurrent gaze pattern for production process. Authors developed two systems required for 3D motion analysis: Firefly Capturing Camera ...

The fundamental technique of vision-based multi-touch technique is the high performance image processing. In this paper, two algorithms are presented to resolve the problems of blob recognition and tracking. Image contour transformation algorithm is ...