Smart Walking Care is a bipedal smart chip and insole-type wearable device developed by PROSPECS, the leading culture in Korea.In addition, the smart walking care apps bipedal pattern detection technology accurately reflects the steps Ive never known before.PROSPECS Smart Walking Care App is with your healthy step.[Average walking speed, stride length, balance, angle analysis]You can see the average speed, stride length, left and right balance of the user, and the angle of incidence. You can use this information to predict the likelihood of a change in your health. [Push Alarm]Every morning, push notifications from the Smart Working Care app alert you to your step health.[Step analysis room]Come to the required course, step analysis room of the smart working care app. The step analysis room analyzes the speed, step width, angle of view, and balance for the two types of walking.Since the data in the step analysis room is stored as your own walking pattern information, the walking speed, stride length, walking distance, and calorie consumption analysis of the smart walking care app can be more accurate.[Exercise mode]Smart Walking Care app analyzes my workout type in 4 steps: running, fast pace, normal pace and slow pace. When you walk or run fast, the left and right balance is not bad, you can check the exercise mode to find the perfect walking speed for my body? Wouldnt it be great to have your GPS tracked on your map and remind your friends of your walking path?[Notice]When using exercise mode, GPS runs in the background, which can shorten battery life quickly.[notice]-Smart walking care app service was jointly developed by Vitals Lab, which studies Prospect and Koreas leading walking culture. Data on the relationship between the change of the step and the onset of dementia were provided by the Korea Sports Medicine Association and Samsung Medical Center Sports Medicine Center.-Consultation with medical staff is required when using the data provided by this service for the purpose of treatment or diagnosis.-There may be an error in step information measurement depending on the usage environment.