Abstract
Simple, inexpensive sensors, including RFID-based object touch sensors, GPS location sensors, and cell-phone quality accelerometers, can be used to detect and distinguish a wide range of human activities with surprisingly high accuracy. I will provide an overview of hardware and algorithms for direct sensing, and speculate about how such sensor data could be used for embodied language and task learning.