CRAWDAD dartmouth/cenceme

CenceMe is a sensing system based on standard and sensor-enabled mobile phones. CenceMe uses the output of the phones' sensors and external data (if such is available) to infer human presence and activity information. This dataset contains movements and inferred activities of participants using CenceMe on their mobile phones.date/time of measurement start: 2008-07-28date/time of measurement end: 2008-08-11collection environment: CenceMe is a personal sensing system, which uses sensor data gathered using mobile devices (e.g. sensor-enabled cell phones) to learn about the activities of their carriers.network configuration: The dataset was collected during the deployment of a modified version of the CenceMe application, CenceMeLite, that logged all the sensed information and high-level inferred activities on the phone's on-board flash memory.data collection methodology: The phones recorded information about the system and raw data from accelerometer and GPS devices.limitation: Some users did not use the phone much and thus did not collect useful data.CenceMeLite traces collected by students and staff members at Dartmouth College.The data were collected by means of 20 Nokia N95 phones carried by students and staff members from the departments of Computer Science and Biology at Dartmouth College.