Dance movements consist of combinations of movements such as jumping, rotation, maintaining balance, leg lifts, and plantar flexion with toe shoes. Dance movements require great muscle strength of lower extremities as well as muscular endurance. The purposes of this study were to investigate correlation between the anthropometric variables and the peak torque in young female dancers and to identify variables that affect isokinetic peak torque. Twenty-six female dancers (19.7±1.2 years of age) performed concentric maximum force efforts on the knee extensors and flexors at 60°/sec and 120°/sec, the ankle plantar flexors (PF) and dorsiflexors (DF) at 30°/sec and 120°/sec. Antropometric variables such as age, height, weight, body mass index (BMI), thigh girth, calf girth and duration of dance training were measured. To identify antropometric variables related to muscle strength, Pearson correlations were computed and a stepwise multiple regression analysis was performed. Pearson correlation coefficients of Knee extensor at 60°/sec and 120˚/sec revealed moderate positive associations with BMI and thigh girth. Pearson correlation coefficients of ankle PF revealed low-to-moderate positive associations with height. Ankle DF also revealed moderate positive associations with BMI and calf girth. The main predictor variables of knee extensor at 60/sec, were stepwise multiple regression, age, height, thigh and girth.

In developing criteria for establishing workstation reach limits, it is essential to select the appropriate anthropometric stereotype for solving a specific design problem. The most important factor for comfortable workstation is to eliminate trunk flexion from the neutral (upright) posture. A solution to this design can be developed using population stature and link length data. This paper provides a methodology for design of comfortable workstation using anthropometric stereotype. Application of this methodology can be utilized in various designs for work space including standing and sitting workplace. For the purpose of this study, the data are measured by some parts on body such as stature, arm length, wrist height, elbow height, and shoulder hight. The samples for this study are randomly chosen from university students in Seoul and Kangnung during sixteen months (2003.3-2004.6).

본 연구에서는 환자들의 일상생활 동안 움직임 이상을 관찰하기 위한 인체동작 무선계측 기술을 개 발하였다. 기술개발에 사용한 도구는 버클리대학에서 개발한 MICA, TinyOS, nesC를 이용하여 무선신호 감지, 소프트웨어 플랫폼, 그리고 임베디드 프로그래밍을 위한 도구로 사용하였다. 실험을 위해 개발된 장비를 인체의 가슴부위에 부착하고 움직임 동작인 앉기, 서기, 눕기 데이터를 획득하여 PDA로 무선전 송하여 저장하고 처리하여 그래프로 보여준다. 보여진 결과는 인체동작을 구속이나 제한 없이 기록할 수 있게 된다. 본 연구의 결과는 환자의 움직임 이상과 일상생활동작을 관찰하는 데 사용될 수 있을 것 이다.