LofT - Lane of Things

Funded by Motorola Solutions Foundation and in association with the Array of Things urban sensor project, a collaborative teaching team ran a multi-week workshop at Lane Tech High School as part of the Innovation and Creation Lab and Physical Computing courses to examine the concepts and technology of embedded sensing and environmental data collection.

Student teams designed, built, and installed dozens of data collecting devices in Lane Tech in order to learn more about activity and interactions within the school space.

Mapping the Project: (Data about Data)

The window to the left shows a heat-map of the number of data types (based on sensors and devices) generated by each room. Some rooms had multiple deployments studying different conditions and utilizing different sensors. 'Studies' were broken down into several categories. The buttons below toggle between heatmaps of the different variables.

Value Mapped: Data Types Generated

Big Data - Short Time

Students deployed for different periods of time throughout the first two weeks of April. The number of values generated in that time depended on the sample rate of the phenomena under study and the data collection method (triggered vs. continuous for example). Many of the projects generated many thousands of readings over this short period with some generating over a hundred-thousand or more. The slider below allows for the filtering of the rooms in the model based on the number of readings generated.

# of Data Readings Greater than: 0

View Settings: Left and Right mouse/trackpad buttons for interaction within the browser window.
Floor: All

Hide Buildings

Plan View

Reset View