Research: Estimating personal energy expenditure with location data / Research: Cooperative Wireless Networks: Review, Analysis and Optimization

Add to your list(s) Download to your calendar using vCal

• Simon Hay and Weisi Guo
• Monday 10 May 2010, 14:00-15:00
• SS03, William Gates Building.

If you have a question about this talk, please contact Andrew Rice.

Estimating personal energy expenditure with location data, Simon Hay

Human inactivity has been associated with the incidence of a number of health conditions and chronic diseases, while our increasing energy consumption is a well- documented problem. A Personal Energy Meter might help identify areas for improvement in our lifestyles that would benefit both our personal health and the global environment. As one strand of this, we explore the possibility of estimating our own energy expenditure from movement traces provided by location systems. This technique offers a number of advantages over accepted accelerometer-based devices. We validate a model which we then apply to analyse the physical activity and working patterns of a total of 60 individuals spread across two separate offices.

Cooperative Wireless Networks: Review, Analysis and Optimization, Weisi Guo

Cooperative transmission is the latest idea to exploit multi-path diversity rather than combat it. The speaker reviews the background and existing work on cooperative wireless protocols, and performs analysis and optimization with special focus on power control for practical networks.

This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge talks
• Computer Laboratory Digital Technology Group (DTG) Meetings
• Department of Computer Science and Technology talks and seminars
• Interested Talks
• SS03, William Gates Building
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31

Note that ex-directory lists are not shown.