Using the Internet of Things for Human Flow Analytics
Tuesday, January 19 - Wednesday, January 20
WHAT: With the Internet of Things becoming a reality, we increasingly find sensor devices being deployed to monitor the movement of people in commercial and institutional buildings. Information from these sensors is useful in automating various operations in the buildings ranging from control of cooling systems, to security monitoring, to emergency evacuation planning. However, in practice, sensor devices can be highly unreliable and are prone to frequent failures. As a result, the data collected from them are often incomplete and noisy.
In this year's computational challenge, Harvard undergraduate and graduate students will be provided with highly incomplete data from sensor readings of human movement in a building. The challenge will be to accurately predict the missing data by exploiting the recurring temporal and spatial patterns in the way people move around within the building.
WHO: Harvard undergraduates and graduate students up to the G2 level are eligible to participate. Students may form and register self-selected teams of 2-3 players or sign up as individuals to be matched with other players to form teams. Students may register in advance or on-site.
WHEN: Tuesday, January 19, 2016 (12:00 - 2:00pm) and Wednesday, January 20, 2016 (2:00 - 4:00pm)
WHY: Students play for fun, pride and prizes! Members of the winning team will win Apple watches! The winners will be announced by SEAS Dean Frank Doyle at the IACS Brain + Machines symposium on Friday, January 22, 2016. Click here to read about last year's Challenge.
WHERE: Pierce Hall, Room 301, 29 Oxford Street
Pavlos Protopapas, IACS Scientific Program Director
Harikrishna Narasimhan, IACS Postdoctoral Researcher
Questions: Email firstname.lastname@example.org