• Journal of Information Processing Systems
• /
• v.3 no.1
• /
• pp.16-20
• /
• 2007

This paper describes the development of the sensor interface and driver program for a point of care (POC) device. The proposed pac device comprises an ARM9 embedded processor and eight-channel sensor input to measure various bio-signals. It features a user-friendly interface using a full-color TFT-LCD and touch-screen, and a bluetooth wireless communication module. The proposed device is based on the system on a programmable chip (SOPC). We use Altera's Excalibur device, which has an ARM9 and FPGA area on a chip, as a test bed for the development of interface hardware and driver software.

• Journal of Advanced Navigation Technology
• /
• v.13 no.4
• /
• pp.503-508
• /
• 2009

In this paper, we have designed the auxiliary input device which based on hand-motion recognition. It is aimed at some individually specified person such as the disabled, rehabilitation patient, and the aged. The gyro sensor is used to recognize the hand-motion in 3D space, and communication bandwidth for transceiver is also set to the 2.4GHz. Prototype board includes a set of modules; Gyro sensor, RF transmitter/receiver, MCU for signal processing and USB connector etc. Some experiments are conducted so as to verify the prototype, and as a result, mouse-based curser motion as well as program control are well operated just same as the design specification.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.12
• /
• pp.1659-1666
• /
• 2018

When the input sound is mixed voice and sound, it can be seen that the voice recognition rate is lowered due to the noise, and the speech recognition rate is improved by improving the MEMS device which is the H / W device in order to overcome the S/W processing limit. The MEMS microphone device is a device for inputting voice and is implemented in various shapes and used. Conventional MEMS microphones generally exhibit excellent performance, but in a special environment such as noise, there is a problem that the processing performance is deteriorated due to a mixture of voice and sound. To overcome these problems, we developed a newly designed MEMS device that can detect the voice characteristics of the initial input device.

• Journal of Biomedical Engineering Research
• /
• v.29 no.3
• /
• pp.205-211
• /
• 2008

A method of detecting the specific patterns related to hand motions using the surface EMG(electromyogram) on an arm is proposed and tested. To do this, we obtain separately modeling parameters based on the LP, Prony estimator, and calculate the latency shift value between channels by cross-correlation function. Then, the coefficients and latency shift value are applied to the detection method to classify the EMG signals related to hand motions. Compared with the conventional methods, the present method are more useful to detect the motion intention of the user as an input device in the mobile and wearable computing environments. And, We expect that the results of this study are helpful in the development of rehabilitation devices for the handicapped.

• Journal of the Korean Society for Precision Engineering
• /
• v.17 no.7
• /
• pp.209-216
• /
• 2000

Recently, Wearable Computers have been applied to medical equipments, inspection system, military and various fields of industries. To support the various application of wearable computer, many researches into the input device for wearable computer have been executed. This paper describes the glove-like hand input system for wearable computer. the characteristics of sensed values, and coupling effects between each sensor. Using these characteristics and coupling effects, the general relation between flexion angles of joints and the values from sensors are proposed as exponential functions. Also, the error range of sensed values is proposed and the glove-like hand input system is calibrated as well by the experiments.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.6
• /
• pp.1103-1108
• /
• 2016

The development of a variety of sensor technology, users smart phone, the use of motion recognition apparatus such as a console game machines is increasing. It tends to user needs motion recognition-based input device are increasing. Existing motion recognition mouse is equipped with a modified form of the mouse button on the outside and serves as a wheel mouse left and right buttons. Existing motion recognition mouse is to manufacture a small, there is a difficulty to operate the button. It is to apply the motion recognition technology the motion recognition technology is used only pointing the cursor there is a limit. In this paper, use of MEMS-based motion recognition sensor, the body of the two-point operation data by recognizing the operation of the (thumb and forefinger) and generating a control signal, followed by studies on the generated control signal to a wireless transmitting computer input device.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06a
• /
• pp.145-148
• /
• 2007

Although the embedded network-engine is a demand of time, it is observed that up to this time the network-engines are not sufficient to control the input and output device for Video On Demand (VOD). In this paper we have proposed the wireless network-engine with the capability of controlling the input and output device.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.16 no.2
• /
• pp.291-297
• /
• 1998

In order to accomplish the digital map production I/O devices should be used which are used for data input procedure to convert original paper map(hardcopy) data into computer compatible digital map data, and for the mapsheet output procedure of worked out data. For the input device, digitizer and scanner are most frequently used. Digitizer has possibility of direct production of digital data, and are mainly used for input procedure of partly plotted source map. In contrary, scanner is rather easy to operate the instrument, so that is widely used for the input procedure of original sheet map. In this study, to extract the input device characteristics, some kinds of digitizers and scanners were cheesed and used for the positional error analysis through the operational method and types of instruments. Also for the output device characteristics, some kinds of plotter and materials are used and compared to analyze the positional error through the instrumental types and output sheet materials.

• Archives of design research
• /
• v.18 no.4 s.62
• /
• pp.175-184
• /
• 2005

PDA(Personal Digital Assistants) and laptop computer that are small sized mobile implements are typical devices which capable of using wireless internet. They seem to have a tendency to possess multi-function as well as to miniaturize in accordance with taking advantage of today's digital convergence circumstance. It should be considered that the pointing input device of these mobile computer that have PDA size and laptop's performance has to be added to something very small instead of 4-button, 5-button navigator and with the electric pen. The basic framework for this study is to investigate the usability of the two input devices Trackpoint and Touchpad which regarded as a alternative pointing device for small sized mobile computer. 14 novice subjects compared a Trackpoint to a Touchpad across five curser-control tasks. The study found that subjects executed not more slowly with a Trackpoint input device than with the Touchpad. Observation shows that learning for Trackpoint appears to have had more than for the Touchpad. Subjects expressed preference for the Trackpoint in general work.

• International journal of advanced smart convergence
• /
• v.10 no.4
• /
• pp.30-37
• /
• 2021

Touch sensor interface has become the most useful input device in a smartphone. Unlike keypad/keyboard interfaces used in electronic dictionaries and feature phones, smartphone's touch interfaces allow for the recognition of various gestures that represent distinct features of each application's input. In this paper, we analyze application-specific input patterns that appear in smartphone's touch interfaces. Specifically, we capture touch input patterns from various Android applications, and analyze them. Based on this analysis, we observe a certain unique characteristics of application's touch input patterns. This can be utilized in various useful areas like user authentications, prevention of executing application by illegal users, or digital forensic based on logged touch patterns.