We are giving talks at the following events:
- Shin’ichi Konomi & Tomoyo Sasao (2016). Crowd Geofencing. The 2nd EAI International Conference on IoT in Urban Space, Tokyo, Japan, May 24-25.
- Kazuki Wakasa & Shin’ichi Konomi (2016). Weaving Urban Spaces through Visible Green to Increase the Awareness of Green Networks. The 2nd EAI International Conference on IoT in Urban Space, Tokyo, Japan, May 24-25.
- Shin’ichi Konomi, Kazuki Wakasa, Masaki Ito & Kaoru Sezaki (2016). User Participatory Sensing for Disaster Detection and Mitigation in Urban Environments. Fourth International Conference, DAPI 2016, Held as Part of HCI Interational 2016, Toronto, Canada, July 17 – 22.
- Tomoyo Sasao & Shin’ichi Konomi (2016). The Use of Historical Information to Support Civic Crowdsourcing. Fourth International Conference, DAPI 2016, Held as Part of HCI Interational 2016, Toronto, Canada, July 17 – 22.
Intelligent Environments – IE’16国際会議ですが、締め切りが延長になっておりますので、是非ご検討下さい。ショートペーパーですとまだ間に合います。
The email server is up and running again! (as of Jan. 14, 21:26)
Our email server is down since around noon. In the meantime, please phone/sms/gmail/line/facebook us.
We just explored a combine use of online and mobile crowdsourcing. There seem to be interesting potential around such a combination. Some related images below.
Power outage on our campus from 8AM till 6PM on Oct. 3 due to the annual maintenance of electricity supply system. Unable to receive emails during this time.
We would like to invite you to join the CSIS Seminar on Thursday, September 24 at 13:30.
* * * * * * * *
Title: Long-Term Monitoring of Human Mobility on Smartphones
Speaker: Dr. Petteri Nurmi (Ubiquitous sensing research group, HIIT & U Helsinki)
Date/Time: Thursday, September 24 at 13:30.
Location: Kashiwa Research Complex 4F, CSIS Lounge, in front of Room #434 & #435.
Abstract: Contemporary smartphones are capable of providing rich and detailed information about human mobility. The localization capabilities of the devices enable us to obtain information about the places people visit and the routes they take, whereas other sensing capabilities can provide information, e.g., about the people they travel with and the transportation means they use. Typically, the more detailed the information the mobility monitoring provides, the higher its energy cost is, making the design of energy-efficient mechanisms for monitoring human mobility an important challenge. This talk introduces some of our previous work on energy-efficient monitoring of different facets of human mobility. These include energy-efficient designs for monitoring user position , trajectories , and transportation modes .
 P. Nurmi, S. Bhattcharya, J. Kukkonen, “A Grid-Based Algorithm for On-Device GSM Positioning”, in Proceedings of the 12th International Conference on Ubiquitous Computing (Ubicomp 2010), ACM, 2010.
 M. B. Kjaergaard, S. Bhattacharya, H. Blunck, P. Nurmi, “Energy-efficient Trajectory Tracking for Mobile Devices”, in Proceedings of the 9th International Conference on Mobile Systems, Applications and Services (MobiSys 2011), ACM, 2011.
 S. Hemminki, P. Nurmi, S. Tarkoma,”Accelerometer-Based Transportation Mode Detection on Smartphones”, Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013).
Bio: Petteri Nurmi is a Senior Researcher at Helsinki Institute for Information Technology HIIT and University of Helsinki where he is leading the Ubiquitous Sensing research group. He obtained his PhD in 2009 from the Department of Computer Science, University of Helsinki, where he is a Docent of Computer Science since 2012. His research interests include mobile sensing, adaptive interfaces, and ubiquitous computing in general.