Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 273-278, 2014
https://doi.org/10.5194/isprsarchives-XL-4-273-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Apr 2014
Towards a Location-based Service for Early Mental Health Interventions in Disaster Response Using Minimalistic Tele-operated Android Robots Technology
H. Vahidi1, A. Mobasheri2, M. Alimardani3, Q. Guan1,4, and M. Bakillah1,5 1Faculty of Information Engineering, China University of Geosciences, Wuhan, China
2GIScience Research Group, University of Heidelberg, Heidelberg, Germany
3Department of System Innovation, Graduate School of Engineering Science, Osaka
4Center for Advanced Land Management Information Technologies, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, USA
5Department of Geomatics Engineering, University of Calgary, Alberta, Canada
Keywords: Disaster Response, Mental Health, Location-based Service, Web GIS, Tele-operated Android Robots Abstract. Providing early mental health services during disaster is a great challenge in the disaster response phase. Lack of access to adequate mental-health professionals in the early stages of large-scale disasters dramatically influences the trend of a successful mental health aid. In this paper, a conceptual framework has been suggested for adopting cellphone-type tele-operated android robots in the early stages of disasters for providing the early mental health services for disaster survivors by developing a locationbased and participatory approach. The techniques of enabling GI-services in a Peer-to-Peer (P2P) environment were studied to overcome the limitations of current centralized services. Therefore, the aim of this research study is to add more flexibility and autonomy to GI web services (WMS, WFS, WPS, etc.) and alleviate to some degree the inherent limitations of these centralized systems. A P2P system Architecture is presented for the location-based service using minimalistic tele-operated android robots, and some key techniques of implementing this service using BestPeer were studied for developing this framework.
Conference paper (PDF, 532 KB)


Citation: Vahidi, H., Mobasheri, A., Alimardani, M., Guan, Q., and Bakillah, M.: Towards a Location-based Service for Early Mental Health Interventions in Disaster Response Using Minimalistic Tele-operated Android Robots Technology, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 273-278, https://doi.org/10.5194/isprsarchives-XL-4-273-2014, 2014.

BibTeX EndNote Reference Manager XML