University of Twente Student Theses


Data collection and user engagement in eHealth applications focused on canine health

Pintilie, Alexandra (2023) Data collection and user engagement in eHealth applications focused on canine health.

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Abstract:University of Utrecht and University of Twente are conducting a study to develop a technology-based system to diagnose lameness in dogs. The system is designed to be user-friendly, with a mobile application that allows dog owners to actively participate in the data collection process. The collected data will be analysed using machine learning algorithms to improve the accuracy and efficiency of the lameness diagnosis. The conceptual framework for the system is based on qualitative research and is the result of two iterations where stakeholders were interviewed. The data collection methods used in the application are both active and passive, with active engagement from the dog owners and passive data collection through participatory sensing. This creates a comprehensive view of the dog’s lifestyle and is key information in the diagnosis and treatment of lameness. The study also includes guidelines for the experiment, which will be used in the user testing phase of the system. The goal of the study is to assess the effectiveness of the app in monitoring recovery and the ability of the machine learning algorithms to accurately assess improvement based on the collected data. The success of the study will provide a more efficient and accurate solution for the diagnosis of lameness in dogs and will greatly improve the veterinary field.
Item Type:Essay (Bachelor)
University of Utrecht, Utrecht, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:01 general works, 02 science and culture in general, 46 veterinary medicine, 50 technical science in general, 54 computer science
Programme:Creative Technology BSc (50447)
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