wsnl.stanford.edu
WSNL :: Stanford Wireless Sensor Networks Lab :: courses
http://wsnl.stanford.edu/courses.html
Ambient Intelligence Research Lab. Tutorial on Human-Centered Vision Systems: Context-driven Algorithm Design. San Francisco, USA. Hamid Aghajan, (Stanford University, USA), Nicu Sebe (University of Trento, Italy), CVPR 2010. Tutorial on Human-Centered Vision Systems. Hamid Aghajan (Stanford University, USA), Nicu Sebe (University of Trento, Italy), ICCV 2009. Sept 2009: ICDSC 2009 tutorial on Human-Centered Vision Systems. Sept 2009: ICIAP 2009 tutorial on Human-Centered Vision Systems. For a short tuto...
wsnl.stanford.edu
WSNL :: Stanford Wireless Sensor Networks Lab :: people
http://wsnl.stanford.edu/people.html
Ambient Intelligence Research Lab. Lab director: Hamid Aghajan. 2013 WSNL Team Picture. Kevin Wong: Phd Thesis Detection of Atypical Patterns of Occupancy and Mobility in Smart Homes and Offices with a Network of Motion Detectors. Tongda Zhang: Phd Thesis Pattern Learning in Smart Homes and Offices Using Motion Sensor and Mind Wave Data. Zixuan Wang: PhD Thesis Exploiting Geometric Information in Camera Networks]. Amir H. Khalili. Chen Wu: PhD Thesis [Multi-Camera Vision for Smart Environments]. Linda Te...
wsnl.stanford.edu
WSNL :: Stanford Wireless Sensor Networks Lab :: research :: publications
http://wsnl.stanford.edu/publications.html
Ambient Intelligence Research Lab. Book: Multi-Camera Networks: Principles and Applications. Book: Human-centric Interfaces for Ambient Intelligence. Book: Handbook of Ambient Intelligence and Smart Environments. Book: Behaviour Monitoring and Interpretation: Smart Environments. Book: Distributed Video Sensor Networks. Book: Behaviour Monitoring and Interpretation - Well-Being. For PDf of some tutorials on Ambient Intelligence and Camera Networks Click here. Spatial health systems - When humans move arou...
wsnl.stanford.edu
WSNL :: Stanford Wireless Sensor Networks Lab :: research :: overview
http://wsnl.stanford.edu/overview.html
Ambient Intelligence Research Lab. Research on smart environments and ambient intelligence. User-centric and adaptive applications based on behavior monitoring and modeling. Applications in elderly care for well-being, safety, abnormal event and behavior shift detection. Personal recommendation systems for well-being at home and in office. User acceptance factors in ambient intelligence, smart environments, and sensor-based social networks. Visit A I R. For a description of our most recent research topics.