Hybrid Mode Wireless Sensor for Tag-less Indoor Human-Oriented Localization and Identification

Description:

Advances in Radio Frequency Identification (RFID) devices have allowed sensors or tags to be placed on devices, animals, or even human subjects for tracking or other purposes. There have also been recent advancements to develop a tag-less sensor for the identification and localization of human subjects.  This invention consists of a tag-less indoor human-oriented localization and identification sensor that accurately localizes human subjects through its dual mode capabilities.

 

Reference Number:  D-1047

 

Market Applications:

The technology can be applied for the following markets: smart homes, home healthcare & elderly care, automatic indoor monitoring, security monitoring, and military operations. 

 

Features, Benefits, & Advantages:

•       Allows for the remote detection of human beings in an indoor environment

•       Distinguishes between human subjects and stationary clutters

•       Detects the gestures of human subjects

 

Intellectual Property:

A U.S. provisional patent application was filed on 05/30/2014. A PCT application was filed on 05/29/2015.

 

Development Stage: 

The technology has been developed and tested.  Work is continuing to make the device more robust and portable.

 

Researchers:

Dr. Changzhi Li, Department of Electrical and Computer Engineering, Texas Tech University

Guochao Wang, Department of Electrical and Computer Engineering, Texas Tech University

 

Keywords: 

Tag-less human sensor, Tag-less indoor human localization and identification sensor, Hybrid frequency-modulated continuous-wave (FMCW) mode and interferometry mode human sensor, Hybrid frequency-modulated continuous-wave (FMCW) mode and interferometry mode sensor, Hybrid frequency mode sensor

 

Patent Information:
Category(s):
Electronics
For Information, Contact:
Cameron Smith
Licensing Associate
Texas Tech Office of Research Commercialization
Cameron.smith@ttu.edu
Inventors:
Changzhi Li
Guochao Wang
Keywords: