• 제목/요약/키워드: Video Healthcare

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A study on development of suitable healthcare equipment for aged people at their homes - Toward efficiency and reduction of the homehelpers' labor in healthcare

  • Nagao, Tomoko;Mizuno, Hiroyuki;Mitsuhashi, Toshio
    • 한국디자인학회:학술대회논문집
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    • 한국디자인학회 2001년도 Bulletin of The 5th Asian Design Conference International Symposium on Design Science
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    • pp.9.1-9
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    • 2001
  • Concerning the development of suitable healthcare equipment for a aged people at their homes in order to reduce the labor and increase the efficiency in the homehelpers' work, we conducted a study on the actual conditions of healthcare in Kyoto city (healthcare in taking a meal and excretion, moving and taking a bath by using a hand-powered lift, moving by a wheelchair, shower carrier healthcare, assistance in body care and housework) by digital video filming, interviews and layout investigations. On the base of those investigations by using methods for analysis of video pictures, we divided the healthcate work into scenes and e exctracted the main problems in terms of health care equipment, information, environment, healthcare skills, mental burden, social s system, family burden, ete. Furthermore the questionnaire survey of home helpers (18 persons - 50% answers) clarified that more than half of them have lumbago pains and the biggest load in the everyday healthcare c comes from moving the patients or getting them into or out of t the equipment for moving. Finally we considered concrete proposals appropriate for each h healthcare scene image, based on evaluation toward efficiency (design guidelines) for suitable healthcare equipment for aged people at their homes: 1) Design toward a proper posture 2) Design toward self-help possibility 3) Design toward patient active participation 4) Design toward rationality of the whole process 5) Design toward place-appropriate healthcare equipment 6) Design toward healing of mind 7) Good level of healthcare skills 8) Economic, systematic rationality

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이동형 Healthcare 시스템 구성을 위한 요소기술

  • 김병수;유선국
    • 전기의세계
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    • 제53권9호
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    • pp.30-35
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    • 2004
  • 초고속 인터넷 기술과 무선 통신망의 발달로 다양한 데이터(video, audio 및 biological data)들을 지원할 수 있는 멀티미디어 시스템의 구현이 가능해짐에 따라 환자의 상태나 요구에 맞추어 효과적인 진료 및 질병 예방을 가능할 수 있게 되었다. U-healthcare 시스템이란 무선 인터넷과 단말기를 생체 계측기와 융합시켜 시간적, 공간적인, 계측장치 제약 없이 환자의 질병관리가 가능한 시스템을 말한다.(중략)

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A Machine Learning Approach to Detect the Dog's Behavior using Wearable Sensors

  • Aich, Satyabrata;Chakraborty, Sabyasachi;Joo, Moon-il;Sim, Jong Seong;Kim, Hee-Cheol
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.281-282
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    • 2019
  • In recent years welfare of animals is the biggest challenge because animals, especially dogs are widely recognized as pet as well as they are using as service animals. So, for the wellbeing of the dog it is necessary to perform objective assessment to track their behavior in everyday life. In this paper, we have proposed an automatic behavior assessment system for dogs based on a neck worn and tail worn accelerometer and gyroscope platform, and data analysis techniques that recognize typical dog activities. We evaluate the system based on the analysis of 8 behavior traits in 3 dogs, incorporating 2 breeds of various sizes. Our proposed framework able to reproduce the manual assessment that is based on the video recording which is treated as gold standard that exhibits the real-life use case of automated dog behavior analysis.

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Intelligent Healthcare Service Provisioning Using Ontology with Low-Level Sensory Data

  • Khattak, Asad Masood;Pervez, Zeeshan;Lee, Sung-Young;Lee, Young-Koo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2016-2034
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    • 2011
  • Ubiquitous Healthcare (u-Healthcare) is the intelligent delivery of healthcare services to users anytime and anywhere. To provide robust healthcare services, recognition of patient daily life activities is required. Context information in combination with user real-time daily life activities can help in the provision of more personalized services, service suggestions, and changes in system behavior based on user profile for better healthcare services. In this paper, we focus on the intelligent manipulation of activities using the Context-aware Activity Manipulation Engine (CAME) core of the Human Activity Recognition Engine (HARE). The activities are recognized using video-based, wearable sensor-based, and location-based activity recognition engines. An ontology-based activity fusion with subject profile information for personalized system response is achieved. CAME receives real-time low level activities and infers higher level activities, situation analysis, personalized service suggestions, and makes appropriate decisions. A two-phase filtering technique is applied for intelligent processing of information (represented in ontology) and making appropriate decisions based on rules (incorporating expert knowledge). The experimental results for intelligent processing of activity information showed relatively better accuracy. Moreover, CAME is extended with activity filters and T-Box inference that resulted in better accuracy and response time in comparison to initial results of CAME.

발의 안쪽 굽힘과 바깥쪽 굽힘을 위한 Healthcare System (Helathcare System for Dorsiflexion and Plantarflexion of Ankle)

  • 신성윤;이현창
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2018년도 제58차 하계학술대회논문집 26권2호
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    • pp.480-481
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    • 2018
  • 이 논문은 발목에 만성적인 불안정성을 가진 환자의 발목을 재사용하는 것을 방지하기 위한 것이다. 이를 위해 발목의 안쪽 굽힙과 바깥쪽 굽힘의 각도가 측정된다. 각도가 규정 된 범위 내에 있고 환자가 통증을 호소하지 않으면 정상으로 간주한다. 그러나 각도가 규정 된 범위를 벗어나서 환자가 통증을 호소하는 경우 이상이 있는 것으로 간주되어 이상 증상에 대한 치료가 필요할 것이다.

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A Robust Approach for Human Activity Recognition Using 3-D Body Joint Motion Features with Deep Belief Network

  • Uddin, Md. Zia;Kim, Jaehyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권2호
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    • pp.1118-1133
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    • 2017
  • Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

헬스케어에서 발목의 굴곡 정보 (Ankle Flexion Information in Healthcare)

  • 신성윤;이민혜;신광성;이현창
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.678-679
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    • 2022
  • 본 논문에서는 헬스케어 시스템의 다양한 영역 중에서 발목의 굴곡 영역을 선택하여 발목 불안정성에 대한 정보를 획득하고 처리한다. 또한, 이러한 정보를 바탕으로 환자의 발목이 재 손상되는 것을 방지할 것이다. 또한 영상을 이용하여 발목의 배측 굴곡과 족저 굴곡 각도를 자동으로 측정하고 관리하는 시스템을 소개한다.

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Performance of End-to-end Model Based on Convolutional LSTM for Human Activity Recognition

  • Young Ghyu Sun;Soo Hyun Kim;Seongwoo Lee;Joonho Seon;SangWoon Lee;Cheong Ghil Kim;Jin Young Kim
    • Journal of Web Engineering
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    • 제21권5호
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    • pp.1671-1690
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    • 2022
  • Human activity recognition (HAR) is a key technology in many applications, such as smart signage, smart healthcare, smart home, etc. In HAR, deep learning-based methods have been proposed to recognize activity data effectively from video streams. In this paper, the end-to-end model based on convolutional long short-term memory (LSTM) is proposed to recognize human activities. Convolutional LSTM can learn features of spatial and temporal simultaneously from video stream data. Also, the number of learning weights can be diminished by employing convolutional LSTM with an end-to-end model. The proposed HAR model was optimized with various simulation environments using activities data from the AI hub. From simulation results, it can be confirmed that the proposed model can be outperformed compared with the conventional model.

뉴노멀 시대의 의료 로봇; Post-Corona 시대를 위한 전망 (Healthcare Robots in the New Normal era; Outlook for the Post-Corona era)

  • 문정은;조용진
    • 디지털융복합연구
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    • 제19권2호
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    • pp.509-514
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    • 2021
  • 코로나바이러스감염증-19(COVID-19)의 유행은 의료 현장에서의 비대면 진단, 관찰, 처치에 대한 요구를 더욱 가속화 시켰고, 이는 의료 로봇에 대한 관심증대로 이어지고 있다. 저자들은 국가 기관 보도 자료, 온-오프라인 언론 보도 기사, 국내·외 로봇 기업 보도 자료들의 분석을 통해 포스트코로나 시대의 방역 의료 로봇이 활용되어야 할 방향에 대해 전망하고자 한다. COVID-19의 유행은 의료 로봇에 대한 관심을 높이게 하였고, 소독, 물류 이송뿐 아니라 감염병이 의심되는 상황에서의 선별 검사, 환자에 대한 감시, 격리 환자에 대한 원격 진료 지원, 가족과의 화상 통화 등의 업무를 수행할 수 있는 의료 로봇의 적용 등이 필요하게 되었다. 따라서 로봇의 상용화에 따른 다양한 문제점들에 대해 충분한 고찰을 기반으로 향후 의료 로봇의 올바른 개발과 적용 및 이를 검증하는 실증적 연구들이 지속되어야 할 것으로 보인다.

대장암 수술 후 퇴원 환자에게 적용한 컴퓨터 기반 애니메이션 동영상 교육의 효과 (Effects of a Discharge Education Program using Computerized Animation Video for Post-operative Colon Cancer Patients)

  • 김영미;김민영;권원경;김호숙;박승현;천명숙;한혜정
    • 재활간호학회지
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    • 제16권1호
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    • pp.37-46
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    • 2013
  • Purpose: This study was to identify the effects of a nurse-led education program using computerized animation video for post-operative colon cancer patients. Methods: a total of 163 patients and 51 nurses were participated in this study. With a non-equivalent control group post-test design, patients were divided into three groups (77 got traditional education, 46 were applying brochure, 40 were watching video). Twelve-item animation video and brochure about the management after discharge for post-operative colon cancer patients were developed based on patient survey and the items of Korea Healthcare Accreditation. Results: The computerized video watching group had better satisfaction than the others, but there was no significant difference about comprehension. When video was applied, satisfaction, usefulness, application, and perceived patients' comprehension of nurses were all increased. Conclusion: This video education program was developed by nurses and it had a special thing for patient to access the same program even after discharge using the authorization system. It would be helpful for nurses to be more concentrated on the direct care for hospitalized patients as well as for patients to provide self-care at home. This program would be adjusted into more various diseases and settings.