Timeline

Timeline:

1- September 27th - October 15th: perform a thorough literature review for fall detection systems and algorithm concentrating on multi-modal approaches. Extract list of available data-sets, smart watch models with their interfaces, capabilities, and ease of use. Choose suitable dataset and smartwatch.

2- October 15th - November 10th: Get familiar with the smartwatch interface, launch the interface and gather data, test the functionality of previously trained models, train new fall detection model if necessary.

3- November 10th - December 4th, perform different attacks targetting the machine learning algorithms, train with poisoned data, perform injection attack, disrupt the reading and transmission interface between the smartwatch and the computer.