Millimeter Wave Human Tracking and Activity Monitoring
Abstract
Millimeter wave (mmWave) signal reflected from human body can be exploited for human mobility tracking and accurate activity monitoring. It can enable indoor scanning radars with many potential applications such as ubiquitous, non-invasive vital sign monitoring, target tracking and gait analysis. We request funding for design and development of mmWave testbed infrastructure for sensing and communication research. The infrastructure will be used to design and evaluate human mobility tracking and motion profiling with accurate channel information and analysis of the reflected signal. The requested equipment and their usage can be summarized as follows. 1. Software radio platforms and 60 GHz RF front-end modules. They will allow us to build mmWave sensing transmitter and receivers wideband signal transmission and detailed channel information of the reflected signal, along with development of PHY/MAC protocols for mmWave networking and sensing. 2. Spectrum analyzer 60 GHz extension modules and oscilloscope. They will provide fine-grained wireless signal profile in frequency and time domains which is necessary for accurate motion detection such as vital sign monitoring, activity and gesture recognition, and gait analysis. 3. Programmable rotator and slider. It will facilitate the design of scanning radar where mmWave beam direction can be changed by mounting the horn antennas on the rotator/slider. With horn antennas of different beamwidths, it will allow us to study human tracking at different spatial resolutions. The proposed mmWave infrastructure will be utilized to make important contributions towards our (PI Dr. MohapatraÕs) ongoing ARL and ARO projects. For our ARL project - Information Fusion in Multimodal Sensing Environment - under the Network Science Collaborative Technology Alliance (NS-CTA), the infrastructure will provide essential means of generating auxiliary information through mmWave motion sensors that can be used for detecting similarities in video feed and reduce the network and computational resource usage. 1
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 15, 2018
- Source ID
- W911NF1610224
Entities
People
- Prasant Mohapatra
Organizations
- Army Contracting Command
- United States Army
- University of California, Davis