Problem or Industrial Need
Sports posture and movement assessment can be costly or difficult to scale when it depends on specialized equipment or manual observation.
Engineering or Scientific Solution
A computer-vision and deep-learning workflow for analysing cycling posture and movement patterns from visual data.
Sebastian's Technical Contribution
Contributed the scientific-computing framing, AI/DL workflow direction and applied engineering supervision connecting model development with a real sports-analysis scenario.
Methods and Tools Used
- Computer-vision pipeline definition
- Deep-learning model workflow for posture or movement analysis
- Python-based data processing and model evaluation
- Applied validation against real-case sports scenarios
Prototype, Simulation and Experimental Evidence
AI posture-analysis workflow
The work is represented as an applied computer-vision and deep-learning project record.
Measurable Result or Published Finding
reported cost reduction
The project was positioned to reduce the cost of comparable posture-analysis solutions.
Diagrams and Publications
Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.
Role, Team Attribution, Institution and Project Context
Applied AI and mechatronics project; scientific-computing and technical-supervision contribution at UIDE.