An adaptive user tracking algorithm using irregular data frames for passive fingerprint positioning

HIGHLIGHTS

• who: Donghyun Kim and colleagues from the School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Korea have published the article: An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning, in the Journal: Sensors 2022, 22, 7124. of /2022/
• what: This work proposes an adaptive user tracking algorithm, which shows a stable performance even when the time intervals between fingerprints are nonuniform. The authors propose an HMM-based user tracking algorithm in passive fingerprinting using both types of frames.
• how: This paper proposes an adaptive algorithm that . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.