Zhen ZHAO

Zhen ZHAO

Researcher in ML/CV/PR

Air War Game with Kinect

less than 1 minute read

Published:

With a Kinect sensor in hand, it would be a waste if I don’t develop sth interesting. Thus, I developed a simple motion sensing game based on the skeloton data obtained from kinect. Also, it helpt myself to train my C++ programming.

Demo Presentation

Control the plane to up, down, left, right, give up and kill all(ultimate).

I presented this demo in a C++ class, and the slides is avaiable here.

Key Components

You may have a basic understanding about this demo after watching the video. There are several key parts about this demo,

  • skeleton window
  • game design
  • gesture recognition
  • virtual switch

After …

Just make use of this Kinect sensor.

Download

pls check “air war *” on my github.

You May Also Enjoy

VLBI Simulator

less than 1 minute read

Published:

To develop an integrated VLBI simulator, named VNSIM, for the VLBI research community. This work is initially motivated by the demand of the East Asia VLBI Networks and can also be expandable to other VLBI networks and generic interferometers.

Medical Sensor Monitoring Via BLE

1 minute read

Published:

Dr. Mohammad Ali Darabi is working on gum sensor for a long time, like his paper, Gum Sensor: A Stretchable, Wearable, and Foldable Sensor Based on Carbon Nanotube/Chewing Gum Membrane. And my job is to make the transmission wirelessly via BLE.

Unity - Healthcare monitoring

1 minute read

Published:

We were looking for other way to monitor the patients, simply because Kinect is a costly solution. Fortuenately, we found the XTR3D SDK from Extreme Reality Ltd.

Kinect - Healthcare Monitoring System

1 minute read

Published:

Physical Therapy today is not as efficient as people expect it to be, which is partly due to weak link between patients and clinicians. Even though researches have proposed many strategies for helping patients recover faster, untimely communication may make the treatments less effective. So there is a great potential and huge demand to build up a bridge between them. Therefore, we are devoted to develop a software system to monitor and record the patients’ exercise, such that the doctors could analyze the collected data to provide patients with appropriate suggestions in a short time.