RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCIE SCOPUS

      An Alternative Athlete Monitoring System Using Cost-Effective Inertial Sensing Instrumentation

      한글로보기

      https://www.riss.kr/link?id=A108316747

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      An examination of the human gait is feasible using inertial sensing. The embedded accelerometer and gyroscope in an inertial measurement unit can evaluate physical activity-based sports and this unit is relatively aff ordable compared to global positi...

      An examination of the human gait is feasible using inertial sensing. The embedded accelerometer and gyroscope in an inertial measurement unit can evaluate physical activity-based sports and this unit is relatively aff ordable compared to global positioning systems or video recording quantifi cation. This study developed a cost-eff ective sports monitoring investigation method with an inertial sensor attached to the right leg of the athletes. In total, four parameters were simultaneously tracked to assess the entire sensor performance in real-time. The accelerometer measured the typical leg angle when walking and running, whereas the gyroscope processed the raw data to obtain the stride frequency from the time-domain data. Moreover, a comparison between the accelerometer and gyroscope was presented while simultaneously attaining the signal to convert the time-domain data to frequency results. Also, the number of strides and linear velocity was expressed as results in this study. To confi rm the results, a statistical hypothesis test was implemented for all obtained results. The results indicated that the inertial sensing instrumentation used in this study is promising and could be an aff ordable alternative option for a sports monitoring system.

      더보기

      참고문헌 (Reference) 논문관계도

      1 Barim MS, 1105-1111, 2019

      2 Badawi AA, "sensor type, axis, and position-based fusion and feature selection for multi-modal human daily activity recognition in wearable body sensor networks" 2020 : 1-14, 2020

      3 Rum L, "Wearable sensors in sports for persons with disability : a systematic review" 21 : 1858-, 2021

      4 Seshadri DR, "Wearable sensors for monitoring the physiological and biochemical profile of the athlete" 2 : 72-, 2019

      5 Seshadri DR, "Wearable sensors for monitoring the internal and external workload of the athlete" 2 : 71-, 2019

      6 Iqbal A, "Wearable Internet-of-Things platform for human activity recognition and health care" 16 : 155014772091156-, 2020

      7 Li Q, "Walking speed estimation using a shank-mounted inertial measurement unit" 43 : 1640-1643, 2010

      8 Benson LC, "Validation of a commercially available inertial measurement unit for recording jump load in youth basketball players" 38 : 928-936, 2020

      9 Hartley P, "Using accelerometers to measure physical activity in older patients admitted to hospital" 2018 : 1-9, 2018

      10 Chandrasekaran G, "Test scheduling of system-on-chip using dragonfly and ant lion opti-mization algorithms" 40 : 4905-4917, 2021

      1 Barim MS, 1105-1111, 2019

      2 Badawi AA, "sensor type, axis, and position-based fusion and feature selection for multi-modal human daily activity recognition in wearable body sensor networks" 2020 : 1-14, 2020

      3 Rum L, "Wearable sensors in sports for persons with disability : a systematic review" 21 : 1858-, 2021

      4 Seshadri DR, "Wearable sensors for monitoring the physiological and biochemical profile of the athlete" 2 : 72-, 2019

      5 Seshadri DR, "Wearable sensors for monitoring the internal and external workload of the athlete" 2 : 71-, 2019

      6 Iqbal A, "Wearable Internet-of-Things platform for human activity recognition and health care" 16 : 155014772091156-, 2020

      7 Li Q, "Walking speed estimation using a shank-mounted inertial measurement unit" 43 : 1640-1643, 2010

      8 Benson LC, "Validation of a commercially available inertial measurement unit for recording jump load in youth basketball players" 38 : 928-936, 2020

      9 Hartley P, "Using accelerometers to measure physical activity in older patients admitted to hospital" 2018 : 1-9, 2018

      10 Chandrasekaran G, "Test scheduling of system-on-chip using dragonfly and ant lion opti-mization algorithms" 40 : 4905-4917, 2021

      11 Chandrasekaran G, "Test scheduling for system on chip using modified firefly and modified ABC algorithms" 1 : 1079-, 2019

      12 Mouazma Batool ; Ahmad Jalal ; 김기범, "Telemonitoring of Daily Activity Using Accelerometer and Gyroscope in Smart Home Environments" 대한전기학회 15 (15): 2801-2809, 2020

      13 Taborri J, "Sport biomechanics applications using inertial, force, and emg sensors : a literature overview" 2020 : 1-18, 2020

      14 Łuczak S, "Selection of MEMS accelerometers for tilt measurements" 2017 : 1-13, 2017

      15 Thomas G, "Real-time camera tracking using sports pitch markings" 2 : 117-132, 2007

      16 Simoni L, "Quantitative and qualitative running gait analysis through an innovative video-based approach" 21 : 2977-, 2021

      17 Zhou X, "Quantifying multi-dimensional attributes of human activities at various geographic scales based on smart-phone tracking" 17 : 11-, 2018

      18 Wisbey B, "Quan-tifying movement demands of AFL football using GPS tracking" 13 : 531-536, 2010

      19 Marković S, "Potential of IMU-based systems in measuring single rapid movement variables in females with different training backgrounds and specialization" 2020 : 7919514-, 2020

      20 Anwary AR, "Optimal foot location for placing wearable IMU sensors and automatic feature extraction for gait analysis" 18 : 2555-2567, 2018

      21 Garcia FdV, "Movement smoothness in chronic post-stroke individuals walking in an outdoor environment—a cross-sectional study using IMU sensors" 16 : e0250100-, 2021

      22 Chandrasekaran G, "Minimization of test time in system on chip using artificial intel-ligence-based test scheduling techniques" 32 : 5303-5312, 2020

      23 Chen Y-C, "Measuring human activity spaces from GPS data with density ranking and summary curves" 14 : 409-432, 2020

      24 Arvidsson D, "Measurement of physical activity in clinical practice using accelerometers" 286 : 137-153, 2019

      25 Nagahara R, "Inertial measurement unit-based hip flexion test as an indicator of sprint performance" 38 : 53-61, 2020

      26 Biagetti G, "Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes" 17 (17): 132-, 2018

      27 Baghdadi A, "Hip and trunk kin-ematics estimation in gait through Kalman filter using imu data at the ankle" 18 : 4253-4260, 2018

      28 Qi J, "Examin-ing sensor-based physical activity recognition and monitoring for healthcare using Internet of Things : a systematic review" 87 : 138-153, 2018

      29 Ahmed N, "Enhanced human activity recognition based on smartphone sensor data using hybrid feature selection model" 20 : 317-, 2020

      30 Jeong H, "Differential cardiopulmonary monitoring system for artifact-canceled physi-ological tracking of athletes, workers, and COVID-19 patients" 7 : eabg3092-, 2021

      31 Hendry D, "Development of a human activity recognition system for ballet tasks" 6 : 10-, 2020

      32 Rantalainen T, "Concurrent validity and reliability of torso-worn inertial meas-urement unit for jump power and height estimation" 36 : 1937-1942, 2018

      33 Heishman A, "Associations between two athlete monitoring systems used to quantify external training loads in basketball play-ers" 8 : 33-, 2020

      34 Stuart S, "Analysis of free-living mobility in people with mild traumatic brain injury and healthy controls : quality over quantity" 37 : 139-145, 2019

      35 Neville J, "Accelerom-eters : an underutilized resource in sports monitoring" 287-290, 2010

      36 Wagner JF, "About motion measurement in sports based on gyroscopes and accelerometers—an engineering point of view" 9 : 1-18, 2018

      37 Jalal A, "A study of accelerometer and gyroscope measurements in physical life-log activities detection systems" 20 : 6670-, 2020

      38 Pons E, "A comparison of a GPS device and a multi-camera video technology during official soccer matches : agreement between systems" 14 : e0220729-, 2019

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼