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Parkinson’s symptom analysis is labor-intensive and AI tools need more diverse training data to assist effectively. In this thesis you will investigate how synthetic data can be used to train computer vision models for real-world scenarios and demonstrate this through a developed model.
This master’s thesis is part of the graduation project ‘Ontzorg de zorg, zorg voor jezelf!’. This project gives the healthcare sector a digital boost through automation and data analysis, allowing caregivers to spend more time with patients while enabling patients to take control of their personal health data.
The examination of Parkinson’s symptoms is highly labor-intensive, as it requires multiple trained neurologists to thoroughly analyze hand and leg movements. A group of hospitals aims to extend Parkinson’s treatment in the Netherlands to regions where such care is currently unavailable due to a shortage of trained neurologists. To achieve this, they want to make a pre-selection through the help of AI on a smartphone. Part of the solution is a pose estimation model to track hand and foot movements. However, the current dataset for training the model is neither large nor diverse enough. The goal is to enrich the dataset with highly varied data while minimizing the need for manual effort.
Important features for detecting hands and feet can be better balanced by enriching the training data with synthetic data. However, it is not yet clear if, or how, synthetic data should be used to train a computer vision model that performs effectively on real-world data. This will be the focus of your thesis.
Research the key considerations for using synthetic data to train a computer vision model that performs well on real-world data. Subsequently, develop a computer vision model for object detection in real-world data by training it on synthetic data to demonstrate your findings.
We anticipate upcoming and future challenges and ensure our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organization and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.
Of course, we offer you an excellent package of graduation conditions with various options. These include:
During your graduation internship, you will be included in one of our business units and in our Research Center. This will give you a good understanding of the developments within our projects and our research projects.
In addition, Info Support offers you:
About Info Support
Info Support specializes in custom software, data/AI solutions, management, and training and is active in the Finance, Industry, Agriculture, Food & Retail, Mobility & Public, and Healthcare sectors. We provide solid and innovative solutions for complex and critical software issues. Our headquarters are located in Veenendaal (NL) and Mechelen (BE). At present, approximately 500 employees are employed by Info Support.
Info Support’s working method is characterized by a number of core values: solidity, integrity, craftsmanship, and passion. These core values are intertwined in our work and the way we interact with each other.
To ensure that all employees are always up to date with the latest developments, Info Support has an in-house knowledge center that eagerly satisfies the hunger for more or different knowledge and skills.
B2 language proficiency in Dutch is required.
Maatwerksoftware bouwen waar miljoenen mensen dagelijks gebruik van maken. Dat is ons werk. Voor grote gerenommeerde klanten in Nederland en België. Betrouwbaar, schaalbaar en onderhoudbaar. Wij gaan voor software oplossingen van zeer hoge kwaliteit. Binnen de afgesproken tijd en het budget.
Door samen continu te vernieuwen helpen we klanten en de wereld significant vooruit. Onze ambitie en drive maakt ons vastberaden om topkwaliteit te leveren en voorop te lopen. Can you do IT?
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