Mobile robotic system for the biomechanical analysis of human gait

The main goal of the project is to develop a non-invasive cost-effective mobile robotic system based on depths cameras (RGB-D) to perform biomechanical and efficiency analysis of human gait.

Robots will follow or guide people while walking or running in order to monitor their movements. Two mobile robotic platforms will be developed:

• one indoor, more compact and cost-effective, used inside buildings with walking people for Neurological Diagnosis and Analysis (NDA)
• one outdoor, faster and more robust, used in outdoor environment to monitor people walking or running for Sportive Diagnosis and Analysis (SDA).

Publications

• Performance of a Mobile 3D Camera to Evaluate Simulated Pathological Gait in Practical Scenarios. Sensors. 2023. Link.
• ANN-Based Optimization of Human Gait Data Obtained From a Robot-Mounted 3D Camera: A Multiple Sclerosis Case Study. IEEE Robotics and Automation Letters. 2022. Link.
• Development and validation of a ROS-based mobile robotic platform for human gait analysis applications. Robotics And Autonomous Systems. 2021. Link.
• ROBOGait: A Mobile Robotic Platform for Human Gait Analysis in Clinical Environments. Sensors. 2021. Link.
• The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth. Sensors 2020. Link.
• Non-Invasive Multi-Camera Gait Analysis System and its Application to Gender Classification. IEEE Access. 2020. Link.