Project Description:

Fitness games recently attract much attention these years due to its combination of playability and athleticism. However, most fitness games are entertainment for a single person, few deliver distinctive experiences for multi-players. Enabling interaction between multiple players would be more enjoyable due to exciting cooperation among players. Considering a Big Stomach Challenge for two players, a certain amount of food can be only eaten when a mouth size, represented by the distance between players, is stretched to a certain scope. Similarly, a certain type of food can only be picked up when the food grabbing speed, denoted by the approaching speed between players, is fast enough. Such games require accurate ranging and speed estimation in a relatively long distance (1 m-15 m) to deliver a good gaming experience. However existing ranging schemes cannot meet the above requirements. They either cannot work under Doppler channels or have to strike a balance between accuracy and operational range, prohibiting a heuristic implementation for the above games. To this end, we design MotionBeep, a novel acoustic ranging scheme that achieves centimeter-level ranging and dm/s-level speed estimation accuracy under representative indoor and outdoor scenes within 15 m. In MotionBeep, we design a new working paradigm and incorporates a state-space model to maintain accurate ranging in both static and dynamic channels. We have implemented a system prototype and evaluate its performance in representative environments. Evaluation results demonstrate that MotionBeep achieves a median of centimeter accuracy with up to 15 m even under the Doppler effect.

Acknowledgement:

• This project is accomplished when I was a Ph.D student at Huazhong University of Science and Technology. For more information, please visit our git repository.

  People:

  • Dr. Chao Cai (Electronic Information & Engineering) - HUST
  • Ruinan Jin (Master student, Electronic Information & Engineering) - HUST

  Related Publications:

• [1] C. Cai, H. Pu, M. Hu, R. Zheng, and J. Luo, "SST: Software Sonic Thermometer on Acoustic-enabled IoT Devices," in IEEE Transactions on Mobile Computing, 2020