Talk 4.3: 1:30PM–2:45PM
| Session Name: | Signal Processing and Network Applications |
| Session Time: | 1:30PM–2:45PM |
| Author Name: | Raymond Lo |
| Author Email: | raymond.lo@utoronto.ca |
| Talk Title: | Real-Time Cyborglogging and Computational Frameworks for Cyborglogs |
| Slides: | 4-3.pdf |
| Abstract: | The goal of this research project is further development of systems for continuous recording and archival of personal experiences, using technologies like camera phones and EyeTaps (wearable camera phones). Cyborglogger (or simply Glogger) is an application that allows camera phones to be used for creating cyborgLog ('glog). Glogger is equipped with features that are ideal for "sousveilliance" (the recording of an activity from the perspective of a participant in the activity). One of the many notable features of Glogger includes its ability to continuously capture and upload in real-time, without any conscious thought, the everyday experience of a person. The server architecture includes a custom-built community website that allows a sousveillance community to interact in real time. This research will also explore advanced social networking in computer-mediated cyborgspaces. Examples include new musical instruments implemented in cyborgspace, on standard camera phones. |
| Research Group: | Communications |
| Degree Program: | M.A.Sc. |
| Author Bio: | Raymond Lo is currently pursuing his Master of Applied Science degree under the supervision of Prof. Steve Mann at the University of Toronto. He received his Honours Bachelor of Science Degree in the Department of Computer Science from the University of Toronto in 2007. His area of specialization is in Software Engineering. As one of the founders of Cyborglogger (or simply Glogger), Raymond Lo has been working on the Glogger (http://glogger.eyetap.org) together with Prof. Mann and Dr. James Fung as an undergraduate student since 2005. In May 2006, Lo and Fung successfully developed and deployed the Cyborglogging system, which consisted of a client Java camera phone application and a customized web server. In October 2007, Lo, Fung, and Mann published the paper "Cyborglogging with Camera Phones: Steps Toward Equiveillance" for the ACM Multimedia 2006. In February 2007, Raymond Lo was invited to the Department of Computer Science “Research in Action” industrial showcase as one of the undergraduate representative. His success in the conference soon allowed Lo to become the featured story on U of T Bulletin News and Canadian Business then crowned the innovation Glogger as having the “highest cool factor” of all the innovations featured at Research in Action. |