| Keywords |
HCI environment ; Exercise prescription program algorithm ; U-health |
| Abstract |
This study aimed to develop an algorithm model for an exercise prescription program which is individualized and formed to assist a portable personal terminal device based on human and computer interaction environments. The model was developed and explained in focusing fitness related variables, in particular, cardiovascular endurance. The target population of this model was healthy young adults (20th and 30th of age) since they were familiar with using modern computing network environments and terminal devices. The model introduces and shows a work flow for cardiovascular exercise practices, fitness evaluation algorithm (field test, lab test, self-perceived fitness test), exercise prescription algorithm (flat type, gradual type, up & down type protocol), and quantification methods of activity level estimation. The collected information of individual exercise status through diverse sensors and devices should be translated to communication indices using the developed algorithm and be interacted in real time with the users. More variant exercise prescription framework should be structured in targeting various sub populations and should be examined continuously, in preparing unpredictably growing U-health care market. |