DocumentCode :
3726816
Title :
Object detection using Google Glass
Author :
Babak Taraghi;Mahdi Babaei
Author_Institution :
Faculty of Information Communication Technology, Limkokwing University, Cyberjaya, Malaysia
fYear :
2015
Firstpage :
97
Lastpage :
102
Abstract :
Using Wearable devices have recently become a common trend. Having a joyful and efficient interaction with the surrounding environment is one of the main goals of using these new technologies. Object and gesture detection on wearables as primary steps to achieve this goal are big challenges and critical features to prepare them for every-day uses. This research aims to study object detection with see-through wearable devices, such as Google Glass. A combination of vision-based techniques has been used to train the Computer Vision Library for object detection with the Google Glass. The result of this research can be applied widely on see-through head-mounted wearable devices for detecting objects and help people for monitoring purposes.
Keywords :
"Glass","Google","Object detection","Biomedical monitoring","Hidden Markov models","Detectors","Image segmentation"
Publisher :
ieee
Conference_Titel :
Open Systems (ICOS), 2015 IEEE Confernece on
Type :
conf
DOI :
10.1109/ICOS.2015.7377285
Filename :
7377285
Link To Document :
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