DocumentCode :
1757340
Title :
Toward Cyber-Enhanced Working Dogs for Search and Rescue
Author :
Bozkurt, Alican ; Roberts, David L. ; Sherman, Barbara L. ; Brugarolas, Rita ; Mealin, Sean ; Majikes, John ; Pu Yang ; Loftin, Robert
Author_Institution :
North Carolina State Univ., Raleigh, NC, USA
Volume :
29
Issue :
6
fYear :
2014
fDate :
Nov.-Dec. 2014
Firstpage :
32
Lastpage :
39
Abstract :
The authors introduce the fundamental building blocks for a cyber-enabled, computer-mediated communication platform to connect human and canine intelligence to achieve a new generation of Cyber-Enhanced Working Dog (CEWD). The use of monitoring technologies provides handlers with real-time information about the behavior and emotional state of their CEWDs and the environments they´re working in for a more intelligent canine-human collaboration. From handler to dog, haptic feedback and auditory cues are integrated to provide remote command and feedback delivery. From dog to handler, multiple inertial measurement units strategically located on a harness are used to accurately detect posture and behavior, and concurrent noninvasive photoplethysmogram and electrocardiogram for physiological monitoring. The authors also discuss how CEWDs would be incorporated with a variety of other robotic and autonomous technologies to create next-generation intelligent emergency response systems. Using cyber-physical systems to supplement and augment the two-way information exchange between human handlers and dogs would amplify the remarkable sensory capacities of search and rescue dogs and help them save more lives.
Keywords :
artificial intelligence; emergency services; CEWD; canine intelligence; canine-human collaboration; computer-mediated communication platform; cyber-enhanced working dogs; cyber-physical systems; electrocardiogram; human intelligence; intelligent emergency response systems; noninvasive photoplethysmogram; physiological monitoring; search and rescue; two-way information exchange; Biomedical monitoring; Dogs; Emergency services; Human machine interaction; Intelligent sensors; Training; Internet of Things; canine machine interfaces; inertial measurement; intelligent systems; machine learning; physiological sensing;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2014.77
Filename :
6914468
Link To Document :
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