Accurate step counting is a critical parameter in pedometer-based indoor localization systems in improving their accuracy and reliability. Higher accuracies are demanded by localization systems, especially at low walking speeds observed in natural walking. The situation may be worse with vision-impaired indoor navigation is considered, especially in an unfamiliar environment. In 2013, we introduced one of the world's first accurate pedometers developed using a single-axis of a gyroscope. The algorithm is inspired by the fact that human walking is an approximation of pendulum motion.

The proposed algorithm is utilized in many assistive technology applications both in industry and academia. 

We are currently aiming to develop a method to identify each individual based on their gait with the aim of utilizing it for biomedical applications.