Daniel Robinson

Development of a wearable NB-IoT/LTE-M solution for critical health and safety reporting.

Masters in Engineering Student

This thesis aims to address current challenges in specific wireless wearable technology by using NB-IoT/LTE-M. Research and development will be geared towards senior citizens, children, hospital/clinic patients and vulnerable pedestrians.

The device is intended to detect and report any of the following critical information using generic interfaces (I2C, digital IOs, UART, SPI): heart rate indicating health concerns, acceleration/jerk indicating falls or crashes, indoor localisation, body temperature, triggering of a panic button in case of emergency; whilst maintaining a discrete footprint.

The solution will work in a similar way to the mobile phone app Namola, in which location info is sent to emergency responders.

To conserve power, the transmission will be event-triggered, with optional infrequent polling from the server side.

The idea would be to roll this out on a large scale, and for the application to choose one of the specific targets, e.g. only clinics, or only pedestrians.