Activity recognition and workload estimation algorithm development using the Kinetyx SI insole system

Smart devices can allow active individuals to monitor their training workload in order to reduce injuries and improve performance. However, many devices are geared towards a single activity, which limits their impact. Kinetyx recently developed an insole with multiple sensors that can be worn within a shoe while performing many activities. Using this insole, we will develop algorithms that identify different activities and provide feedback on the workload from those activities. Creating algorithms to turn the Kinetyx insole into a smart insole has the potential to reduce overuse injury risks and improve performance so that people can stay active and healthy.

Faculty Supervisor:

Benno Nigg

Student:

Eric C Honert;Fabian Hoitz

Partner:

Kinetyx

Discipline:

Kinesiology

Sector:

Manufacturing

University:

University of Calgary