Welcome to the 387_Final-Individual- wiki!

Purpose

The goal of this project is to offer a way in collecting and analyzing data about people in the gym.

Detail in procedure

The first thing in my final individual is about using bio ID, which is most likely to be fingerprint. For people who bought membership of the gym, it enable them to have access to the gym and equipment there.

In the next step, I will try to associate the data on their exercise with their bio ID. Also, when users sign up as members, they might provide some basic information about weight and height. Some treadmills can automatically calculate how many calories have been consumed and information about users’ exercise can be collected in this way. I would try to make prediction on how many calories they might/should consume per week based on their height/weight, and exercise data by regression (or other machine learning techniques). Then, some suggestions such as how much exercise should be done in the future could be generated.

features

Required: Bio ID (fingerprint) can identify different users and block non-member users. Data collection: collect data about users' amount of exercise and label the data so that we can know which user produce these data. Data analyze: analyze data about users height, weight, and amount of exercise to make prediction

Here are some optional features other than those already mentioned if I have enough time to work on this project. Some treadmills might not have the feature of calculating calories. I might do this based on the distance that the belt of treadmill moved. Also, to be user-friendly, a mobile app can be designed which allows users to know how many exercise they have done and to view suggestions based on regression.