THESIS
2015
xi, 119 pages : illustrations ; 30 cm
Abstract
Perceiving human/object spatial context is of great importance to a range of pervasive applications,
attracting many research efforts in the past decades. Despite academic success in WiFi
or Blue-tooth based spatial context sensing techniques, there are limited advances in RFID-based
solutions. This thesis exploits the potential of passive RFID tags for human/object spatial context
sensing, with a focus on monitoring the moving pattern of human body and perceiving the relative
location of objects. It shows how RF signal features (e.g., RSSI and phase readings) vary
with the movement of passive tags attached on human bodies and objects. Based on the spatial-temporal
correlation model drawn in this RF signal feature analysis, body movement patterns in
both free-weight training and...[
Read more ]
Perceiving human/object spatial context is of great importance to a range of pervasive applications,
attracting many research efforts in the past decades. Despite academic success in WiFi
or Blue-tooth based spatial context sensing techniques, there are limited advances in RFID-based
solutions. This thesis exploits the potential of passive RFID tags for human/object spatial context
sensing, with a focus on monitoring the moving pattern of human body and perceiving the relative
location of objects. It shows how RF signal features (e.g., RSSI and phase readings) vary
with the movement of passive tags attached on human bodies and objects. Based on the spatial-temporal
correlation model drawn in this RF signal feature analysis, body movement patterns in
both free-weight training and physical store shopping are investigated. Besides, the relative location
of objects in baggage sorting system is exploited as well. All of proposed solutions are finally
evaluated with real-world measurements.
Post a Comment