For Students

Master Student Thesis

Some thesis opportunities

Thesis – Deep data mining for biomechanical analysis of gait parameters

The objective of this Thesis is to efficiently extract body parameters from gait information of people

Project Context: H2020 RAMCIP and INAIL SAILPORT

Dataset Available: gait data acquired with Kinect 1, Kinect 2 and Vicon

Tools Available: setup with Vicon and Kinect at PERCRO

Theoretical Tools: Kinematics, Biomechanics, Vision, Deep Learning

Practical Tools: Python-based libraries

 

Thesis – Action and Interaction Space Analysis for Safety of Workers

Understanding of walking patterns and actions of people for understanding the safety of their action in connection to an outdoor working environment (harbour). Research on Deep Learning techniques for motion estimation, action anticipation and then understanding of risks due to vehicles or objects that can fall.

Project Context:  INAIL SAILPORT

Dataset Available: online or to be acquired

Theoretical Tools:  Vision, Deep Learning

Practical Tools: Python-based libraries

Thesis – Segmentation of Actions from Inertial Measures and Visual Channel

The objective of this work is to perform action segmentation in known environmental situations based on data acquired from a inertial full body motion suit

Project Context:  INAIL SAILPORT

Dataset Available: online or to be acquired

Theoretical Tools:  machine learning

Practical Tools: Python-based libraries / C++

Tools

https://docs.google.com/document/d/1_sTFo6tssW3xxGZdJST14CU3wKviGCODrDCAJ1uRyfM/edit