• Journal of the Semiconductor & Display Technology
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• v.9 no.2
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• pp.41-47
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• 2010

In this paper we suggest an improvement upon the previous method of estimating a body's attitude. This paper presents a method that overcomes the shortcomings of previous studies. Applying the method of separating the acceleration of gravity component from the accelerometer's output improves the performance of the attitude estimation and extends the scope. In order to apply the method of the attitude estimation in an actively moving body, a new acceleration value containing the acceleration of gravity is calculated. This paper also proposes the method which minimizes the estimation error in estimating the moving body's attitude which is changing rapidly. Finally, this paper suggests a method that detects the gyroscope's drift and compensates for this drift using accelerometer. Applying the method improves the performance of the attitude estimation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.129-130
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• 2020

본 논문에서는 청각장애인의 의사소통을 위한 안드로이드 애플리케이션 시스템 구현 결과를 보인다. 구글 클라우드 플랫폼(Google Cloud Platform)의 STT(Speech to Text) API를 이용하여 음성 인식을 통해 대화의 내용을 텍스트의 형태로 출력한다. 그리고 TTS(Text to Speech)를 이용한 음성 합성을 통해 텍스트를 음성으로 출력한다. 또한, 포그라운드 서비스(Service)에서 가속도계 센서(Accelerometer Sensor)를 이용하여 스마트폰을 2~3회 흔들었을 때 해당 애플리케이션을 실행할 수 있도록 하여 애플리케이션의 활용성을 높인 시스템을 개발하였다.

• Journal of Sensor Science and Technology
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• v.9 no.3
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• pp.196-202
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• 2000

In this paper, we proposed the new bridge combination detection method for three dimensional piezoresistive silicon accelerometer, and the accelerometer with SOI structures was fabricated by bulk micromachining technology for using higher temperature than $200^{\circ}C$. The sensitivities of fabricated accelerometer for X, Y and Z-axis acceleration were about 8mV/V G, 8mV/V G and 40mV/V G. The nonlinearity of the output voltage was 1.6%FS and cross-axis sensitivity was within 4.6%. We confirmed that the three bridges detection method is very simple and the output characteristics of this accelerometer were similar to arithmetic circuit method accelerometer. The temperature characteristics of SOI structure accelerometer showed high operating temperature and good stability. And the temperature coefficient of offset voltage and sensitivity were $1033ppm^{\circ}C^{-1}$ and $1145ppm^{\circ}C$ respectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.133-137
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• 2016

The video and audio information occupies a large portion of the IoT information. Various sensors can be used in a more accurate situation awareness and the absence of the main information has been required. Increasing in resource management in accordance with the use of various sensors. As a method to reduce the resources required in the communication of the various sensors and find the possibility to process the sensor information that can take the place of the other sensor. In this paper, using the LIS302 DL MEMS motion sensor to measure the data in the ping-pong ball, shuttlecock, tennis ball falling into table tennis. Data measured in the three object was confirmed that in proportion to the amount of impact. This experiment using the accelerometer can be confirmed that changes in the amount of impact. The results using a single multi-function sensor showed a possible implementation. In addition, the recognized in consideration of the situation in the early development stage of the multi-function sensor.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.230-237
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• 2005

In this paper, we are suggested a method that's a major topics in sports medicine. It is disease control, control and management of chronic degenerative disease, and promotion of health. We are analyze physical activity to scientific and quantitative a trainee at Wu-Shu gymnasium, for a suggested method. We are measured a quantity of physical activity by SenseWear-PRO2-Armband which develop body-media company. Armband include to skin temperature sensor, near-body temperature sensor, accelerometer, heat flux sensor, galvanic skin response sensor. Acquired data was recorded to storage in Armband. We are analyzed using InnerView Wearer Software in the Stored data to skin temperature, calorie expenditure, quantity of physical activity. The result of this analyzed, we are know that a man of long-term exercise expenditure energy at short time and if liveliness of physical activity was Increase in expenditure energy with increase skin temperature. Also, we are know that the heat flux after increase expenditure energy with increase skin temperature. And, know that GSR was not affected a factors that physical activity, expenditure energy, increase skin temperature, and others.

• Proceedings of the KWS Conference
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• 2008.05a
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• pp.37-37
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• 2008

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.155-161
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• 2016

This paper proposes a novel fabrication method for a capacitive type micro-accelerometer with uniform nano-gap using photo-assisted electro-chemical etching. The sensitivity of the accelerometer should be improved while the electrodes between the inertial mass and the sensing comb should be narrowed. In this paper the nano-gap trench structure is fabricated using the photo-assisted electrochemical etching method. The sensor was designed and analysed using ANSYS simulator. The characteristics of the etching were observed according to the dc bias, the light intensity, the composition of the solution, the temperature of the solution, and the pattern pitch variation. The optimum etching conditions were dc bias of 2V, Blue LED of 20mA, 49wt% HF:DMF:D.I.Water=1:20:10, the pattern pitch of $20{\mu}m$. Uniform trench structure with width of 344nm and depth of $11.627{\mu}m$ are formed using the optimum condition.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.17-26
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• 2011

We have developed a wearable device that can convert sensor data into real-time step counts. Sensor data on gait were acquired using a triaxial accelerometer. A test was performed according to a test protocol for different walking speeds, e.g., slow walking, walking, fast walking, slow running, running, and fast running. Each test was carried out for 36 min on a treadmill with the participant wearing an Actical device, and the device developed in this study. The signal vector magnitude (SVM) was used to process the X, Y, and Z values output by the triaxial accelerometer into one representative value. In addition, for accurate step-count detection, we used three algorithms: an heuristic algorithm (HA), the adaptive threshold algorithm (ATA), and the adaptive locking period algorithm (ALPA). The recognition rate of our algorithm was 97.34% better than that of the Actical device(91.74%) by 5.6%.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.147-154
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• 2011

In this Paper, we suggest the effective pre-correction algorithm on sensor values and the classification algorithm for gesture recognition that use values for each axis of the accelerometer to send data(a number or specific input data) to device. we know that creation of reliable preprocessed data in experimental results through the error rate of X-Axis and Y-Axis for pre-correction and post-correction. we can show high recognition rate through recognizer using the normalization and classification algorithm for the preprocessed data.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.594-596
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• 2006

In this thesis, we propose a algorithm that is able to detect a user's motion. A minute noise of accelerometer arises cumulative error in case of converting velocity and distance, which makes it difficult to detect movement of sensor. We use a lowpass filter, ALS algorithm, and motion detection block to minimize such cumulative error. we experiment using a motion-detective module which is composed of accelerometer, micro-controller, and serial interface. Our scheme is capable of detecting such as up, down, left, right, forward, and backward movement of the module. It is expected that our scheme is applied to a game controller or user interface of a next generation PC.