• Journal of Internet of Things and Convergence
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• v.2 no.2
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• pp.1-6
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• 2016

Recently, various types of wearable computers have been studied. In this paper, we analyze the characteristics of head motion information for the operation of the motion classifier produced motion headset that the user can use while listening to music. The prototype receives music from smart phone over bluetooth communications, and transmits the motion information measured by the acceleration sensor to the smart phone. And the smartphone classifies the motion of the head through a motion classifier. we implemented a prototype for our experiment. The user's head motion "up", "down", "left" and "right" were classified using a Bayesian classifier. As a result, in case of the movement of the head "up" and "down", there are a large changes in the x, z-axis values. In future we have a plan to perform a user study to find suitable variables for creating motion classifier.

• 대한예방의학회:학술대회논문집
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• 1996.10a
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• pp.191-192
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• 1996

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2595-2600
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• 2012

In this study, we propose the new interface system for the disabled and old people who do not well using electronic equipment that is used physical switch interface system. The proposed new interface system is consisted of speech and motion recognition system. Speech recognition system is mike in the headset, and motion recognition system is 3-axis accelerometer in the headset. In order to verify the usefulness of the proposed system, we make an experiment on new interface.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.524-529
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• 2006

짧은 기간에 비약적으로 기술이 발전하는 시대에는 사용자의 미래환경과 그에 따른 사용자의 행태를 미리 분석할 수 있는 방법이 절실히 요구된다. 본 연구에서는 블루투스 핸즈프리 헤드셋의 UI 디자인 개발을 위해 사용된 사용자의 제품 사용행태 예측 과정을 통해 그 방법론을 제시하고자 한다. 1 차로 블루투스 핸즈프리 헤드셋 사용자가 그것을 사용하는 사용행태를 조사 분석하였으며, 조사의 결과를 인터랙티브 스토리텔링의 방법으로 구성하여 아이디어개발을 위한 보조도구로 개발하였다. 조사의 대상은 블루투스 헤드셋의 주요 사용자 층인 10 대 후반에서 20 대 중반에 속하는 사용자 그룹이며 블루투스 헤드셋으로 변용 가능한 패션 액세서리를 선정하고 선정한 액세서리를 블루투스 핸즈프리 헤드셋으로 가정하여 사용시의 그들의 사용 포즈를 분석하는 방법을 통해 주사용자 층의 사용행태를 예측하고자 하였다. 이 연구의 결과는 블루투스 헤드셋 개발팀내의 기획자, 기술자, 디자이너들이 제품의 개발 방향에 대한 아이디어 공유를 위하여 Macromedia Flash 를 사용하여 인터랙티브 스토리텔링으로 제작하여 디자인을 위한 보조 툴로 제안하였다. 본 연구는 블루투스 핸즈프리 헤드셋과 같이 사용자의 새로운 요구와 사용성이 기대되는 제품 UI 디자인을 위해서는 사용자의 미래 요구사항을 예측 할 수 있는 방법이 필요하다는 배경에서 시작되었으며, 블루투스 핸즈프리 헤드셋의 사용자의 요구 파악 및 예측을 위한 방법으로 제품과 사용자의 사용 포즈를 연계하여 분석하는 방법을 제안하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6C
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• pp.343-348
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• 2011

This paper introduces a design for real time wireless headset using ANC (active noise control) system based on NFxLMS adaptive filter algorithm. The training time of the proposed system is significantly reduced by using the RMS delay spread of a channel as an error correction parameter, and convergence rate of the FxLMS filter has been improved with updating the coefficients of the NFxLMS filter, which we have got during the training process. Our system has shorter training time and better convergence rate at the same noise reduction level than the conventional system under real noisy environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2305-2327
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• 2022

Recent improvements in technology have increased the consumption of virtual reality (VR) contents on immersive displays. The VR experience depends on the type of displays as well as the quality of VR contents. However, research on the impacts of VR content quality on VR experience and comparisons among different types of immersive display devices are lacking. In this study, VR contents created with our VR framework, are provided to participants on conventional two-dimensional (2D) immersive displays and VR headset. The geometric alignment of VR contents is improved with the addition of two calibration modes (i.e. preprocessing and straightening). The subjective feelings of presence and cybersickness experienced by participants while consuming VR contents created by our framework and commercial solutions are recorded in the form of questionnaires. The results of this study indicate that the improvements in VR quality lead to a better presence and less cybersickness in both conventional 2D displays and VR headset. Furthermore, the level of presence and cybersickness increases in VR headsets as compared to conventional 2D displays. Finally, the VR content quality improvements lead to a better VR experience for our VR framework as compared to commercial solutions.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.4
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• pp.41-46
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• 2005

Acoustic problems in the environment have gained attention due to the noise and vibration contact often in industry as well as life on modem society. Noise is one of safety element in industry, this proves damaging to humans from both a physical and a psychological aspect and so drop working efficiency. Various noises are happened from machines of manufacturing process in PCB industry. This paper present a new approach for subband feedback Active Noise Control (ANC) using Mel scale for headset system in PCB industry. The proposed Mel scale subband algorithm had a performance advantage over the subband algorithm in the noise attenuation and convergence time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.813-815
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• 2016

This paper implements a device control system based on the brain wave data. Brain-Computer Interface (BCI) technology can pass directly to the system without going through the operation of the language or body. By controlling the device to detect brain waves in real time according to the change of status it helps to ease life for a variety of services, such as disabled people with limited mobility or students, people who need multi-tasking. In addition, it is possible to develop an application service such as the home device control system. A device control system implemented in the paper based on the data collected from the EEG Headset associated to control the power of the smart phone and audio. Control the power ON / OFF operation by the Attention, and support service functions to control the audio by the Meditation and Eye blink. It was confirmed that the device control using the brain wave data to be operated through a laboratory test successfully.

• Journal of Audiology & Otology
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• v.24 no.1
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• pp.17-23
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• 2020

Background and Objectives: We aimed to measure the head dimensions on computed tomography (CT) images, to compare them to directly measured head dimensions, and to predict a new parameter of bone thickness for aiding bone conduction implant (BCI) placement. Subjects and Methods: We reviewed the facial and mandibular bone CT images of 406 patients. Their head sizes were analyzed using five parameters included in the 6th Size Korea project, and they were divided into age groups (ranging from the 10s to the 80s). We compared the head length, head width, sagittal arc, bitragion arc, and head circumference in the CT and Size Korea groups. We also added the parameter bone thickness for aiding BCI placement. Results: All the head size parameters measured using CT were significantly smaller than those measured directly, with head length showing the smallest difference at 7.85 mm. The differences in the other four parameters between the two groups according to patient age were not statistically significantly different. Bone thickness had the highest value of 4.89±0.93 mm in the 70s and the lowest value of 4.10±0.99 mm in the 10s. Bone thickness also significantly correlated with head width (p=0.038). Conclusions: Our findings suggested that the CT and direct measurements yielded consistent data. Moreover, CT enabled the measurement of bone sizes, including bone thickness, that are impossible to measure directly. CT measurements may complement direct measurements in the Size Korea data when used for developing bone conduction hearing devices (BCIs and headsets) for the Korean population.

• Korean Journal of Audiology
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• v.24 no.1
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• pp.17-23
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• 2020

Background and Objectives: We aimed to measure the head dimensions on computed tomography (CT) images, to compare them to directly measured head dimensions, and to predict a new parameter of bone thickness for aiding bone conduction implant (BCI) placement. Subjects and Methods: We reviewed the facial and mandibular bone CT images of 406 patients. Their head sizes were analyzed using five parameters included in the 6th Size Korea project, and they were divided into age groups (ranging from the 10s to the 80s). We compared the head length, head width, sagittal arc, bitragion arc, and head circumference in the CT and Size Korea groups. We also added the parameter bone thickness for aiding BCI placement. Results: All the head size parameters measured using CT were significantly smaller than those measured directly, with head length showing the smallest difference at 7.85 mm. The differences in the other four parameters between the two groups according to patient age were not statistically significantly different. Bone thickness had the highest value of 4.89±0.93 mm in the 70s and the lowest value of 4.10±0.99 mm in the 10s. Bone thickness also significantly correlated with head width (p=0.038). Conclusions: Our findings suggested that the CT and direct measurements yielded consistent data. Moreover, CT enabled the measurement of bone sizes, including bone thickness, that are impossible to measure directly. CT measurements may complement direct measurements in the Size Korea data when used for developing bone conduction hearing devices (BCIs and headsets) for the Korean population.