首页 | 本学科首页   官方微博 | 高级检索  
     


Identifying and facilitating social interaction with a wearable wireless sensor network
Authors:Joseph A. Paradiso  Jonathan Gips  Mathew Laibowitz  Sajid Sadi  David Merrill  Ryan Aylward  Pattie Maes  Alex Pentland
Affiliation:(1) MIT Media Lab, Responsive Environments Group, Cambridge, MA 02139, USA;(2) MIT Media Lab, Human Dynamics Group, Cambridge, MA 02139, USA;(3) MIT Media Lab, Ambient Intelligence Group, Cambridge, MA 02139, USA
Abstract:We have designed a highly versatile badge system to facilitate a variety of interaction at large professional or social events and serve as a platform for conducting research into human dynamics. The badges are equipped with a large LED display, wireless infrared and radio frequency networking, and a host of sensors to collect data that we have used to develop features and algorithms aimed at classifying and predicting individual and group behavior. This paper overviews our badge system, describes the interactions and capabilities that it enabled for the wearers, and presents data collected over several large deployments. This data is analyzed to track and socially classify the attendees, predict their interest in other people and demonstration installations, profile the restlessness of a crowd in an auditorium, and otherwise track the evolution and dynamics of the events at which the badges were run.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号