Inspiration

  1. There are countless examples, in which the athlete or sportsperson is required to track his/her activity for selecting the next step in Training. But issues persist in the task to record his/her activity.

  2. People’s pleasure in tendency and to play never disappears, and there have been many improvements in the gaming area. But the problem is that humans cannot interact with computers physically to get most of the entertainment of computer games. Only by recognizing the activities a user is performing, the computer can understand the user and give a response based on human reactions. This way, human-computer interaction is possible.

What it does

The proposed system aims to predict the activity of humans by using readings of smartphone sensors i.e. accelerometer and gyroscope.

How I built it

It is built in python programming language

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Human Activity Recognition Using Logistic Regression

  1. The system can be upgraded to a full-fledged mobile application.

  2. The system can be scaled up to predict other activities like skipping, crouching, etc.

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