effects are markedly absent in other major life decisions such as choice of college major. Peer effects in GPA occur at the individual room level, whereas peer effects in fraternity membership occur both at the room level and the entire dorm level. Overall, the data provide strong evidence

Abstract — We present an approach for multi-person activity recognition in an office environment with simultaneous tracking of users on the room-level. Audio as well as video features, gathered from a simple setup, are used to employ a multilevel Hidden Markov Model (HMM) framework. Evaluation

this approach room-level zoning. Sensors are used to detect occupancy in rooms which allows the learning of occupancy patterns and prediction of room occupancy. Unoccupied rooms can be allowed to drift away from a user defined comfortable temperature if they are less likely to be used in the near future while

. In this paper we explain experiments we conducted to explore and optimize Wi-Fi location tracking in one building. While we had hoped for more accurate positioning, we found that only room-level granularity was consistently and reliably achieved. The accuracy of Wi-Fi location tracking is improved as more

In this paper, we propose a system that uses the wireless networking and microphone interfaces of mobile devices to determine location to room-level accuracy. The wireless network provides a synchronizing pulse along with information about the room. This is accompanied by an ultrasound beacon

of doorways through which they pass. Doorjamb provides room-level tracking without requiring any user participation, wearable devices, privacyintrusive sensors, or high-cost sensors. We create a proof-ofconcept implementation and empirically evaluate Doorjamb with experiments that include over 3000 manually

. In this paper we explain experiments we conducted to explore and optimize Wi-Fi location tracking in one building. While we had hoped for more accurate positioning, we found that only room-level granularity was consistently and reliably achieved. The accuracy of Wi-Fi location tracking is improved as more

system that uses an even more ubiquitous domestic infrastructure—the residential powerline. PowerLine Positioning (PLP) is an inexpensive technique that uses fingerprinting of multiple tones transmitted along the powerline to achieve subroom-level localization. We describe the basics behind PLP

Abstract—In this paper the possibility of room-level local-ization through Wi-Fi by using user collaboration and zero-configuration is investigated. User collaboration and zero-configuration means that it avoids the time-consuming training phase known by other systems such as fingerprinting

be broken into nations and nations into smaller regions, and goes on to explain how to arrange roads, parking, shopping, places to work, homes, and places of worship. The patterns focus on finer and finer levels of detail, passing though a discussion of how to arrange rooms in a house, and finally