Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement

Basketball Activity Recognition using Wearable Inertial Measurement Units

Analysis of human movement is a growing research area within the field of sport monitoring which aims to enhance the performance of athletes, predicting injuries or optimizing training programs. Camera-based techniques are the most spread method to evaluate although frequently this method can be cumbersome and, furthermore, specific movements where performance is analyzed are not possible to di...

Classification of deadlift biomechanics with wearable inertial measurement units.

The deadlift is a compound full-body exercise that is fundamental in resistance training, rehabilitation programs and powerlifting competitions. Accurate quantification of deadlift biomechanics is important to reduce the risk of injury and ensure training and rehabilitation goals are achieved. This study sought to develop and evaluate deadlift exercise technique classification systems utilising...

Accurate Position Tracking Using Inertial Measurement Units

Indoor Positioning Using Inertial Measurement Units

With the increase in the number of smart phone users worldwide there comes a high demand for smart phone based location systems. Within the project “Indoor positioning using inertial measurement units” an android application has been developed wherein the position of the smart phone user with respect to the floor environment is determined. This has been achieved using the smart phone sensors st...

Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units

Previous studies have presented algorithms for detection of turns during gait using wearable sensors, but those algorithms were not built for real-time use. This paper therefore investigates the optimal approach for real-time detection of planned turns during gait using wearable inertial measurement units. Several different sensor positions (head, back and legs) and three different detection cr...