Internet of Things and Embedded Machine Learning
Based on the STMicroelectronics SensorTile development kit, this curriculum provides young engineers and techies with the foundations required to build Internet of Things systems such as wearable consumer devices, wearable medical devices, residential IoT systems, and vehicle IoT systems.
Prof. William J. Kaiser, UCLA
Internet of Things and Embedded Machine Learning Curriculum
What is the SensorTile?
App for iOS and Android
The STBLESensor app provides access to all the environmental and motion sensor data from the SensorTile (or other BLE-connected device), including fusion, plot, activity recognition, carry position, acceleration event, BlueVoice, speech-to-text, beamforming, sound source localization, pedometer, switch, motion intensity, compass, cloud logging, node status, and more.
Support material for the platform is available for free download.