Welcome to Elemental Kinection

Elemental Kinection

Elemental Kinection provides telerehabilitation (rehabilitation provided over the internet), an inexpensive and engaging alternative for at-home therapy. Using the motion sensing capabilities of the Microsoft Kinect v2, our application tracks a patient's movements while the patient performs exercises. Patients receive therapy session instruction, real-time exercise feedback, and may also view their prior therapy history. Elemental Kinection differs from similar Kinect therapy applications in that it utilizes machine learning, instead of heuristics, to allow therapists to easily add exercises to the system.

What it needs?

  • Kinect
  • Computer (At least 4 GB RAM and i5 recommended)
  • USB 3.0
  • Internet Connection (for new exercises)

Our Team Members

Nathan Johnson

Nathan Johnson

Class of 2016, Computer Science

As with the rest of my team, I'm a senior at TCU. I'm originally from Canada, but moved down here about seven or eight years ago. I'm pursuing a degree in Computer Science and a minor in Mathematics.




Jack Kempner

Jack Kempner

Class of 2016, Computer Science

I am a Senior at TCU studying Computer Science. I have an interest in AI and machine learning, & development experience in C, C++, C#, and java. I have designed the logo for Elemental Kinection.






Sam Kent

Sam Kent

Class of 2016, Computer Science

While at TCU I have completed the core computer science curriculum while taking electives in network and wireless security as well as participating in outside projects. My role thus far on Elemental Kinection has been research on integrating Kinect with Unity 5 as well as pretty much all the research.

Aakash Tyagi

Aakash Tyagi

Class of 2016, Computer Science

A senior from India, I'm an independent learner with interests in web development, UX designing and native apps. When not doing homework, I'm busy working on my personal projects, playing sports, and traveling.