• TTA Journal
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• s.94
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• pp.134-139
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• 2004

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.17-23
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• 2016

NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.85-94
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• 2012

In this paper, we develop the new gestures of screen control with fingers on the FTIR multi touch table. It also describes recognition of mobile devices on the table using infrared camera. The FTIR multi touch table was incovenient to the existiog Bluetooth connection, because it is not provided with an HID(Human Input Device) interface. The proposed data transmission method using mobile device is to relieve the inconvenience of the data transfer and proceed more effectively. The new gestures and data transmission method is verified by FTIR multi touch table that is implemented for testing.

• Journal of Engineering Education Research
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• v.19 no.1
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• pp.31-36
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• 2016

These days, ICT-related products are pouring out due to development of mobile technology and increase of smart phones. Among the ICT-related products, wearable devices are being spotlighted with the advent of hyper-connected society. In this paper, a body-attached type wearable device using EMG(electromyography) sensors is studied. The research field of EMG sensors is divided into two parts. One is medical area and another is control device area. This study corresponds to the latter that is a method of transmitting user's manipulation intention to robots, games or computers through the measurement of EMG. We used commercial device MYO developed by Thalmic Labs in Canada and matched up EMG of arm muscles with gesture controller. In the experiment part, first of all, various arm motions for controlling devices are defined. Finally, we drew several distinguishing kinds of motions through analysis of the EMG signals and substituted a joystick with the motions.