Senior Design Projects
ECS193 A/B Winter & Spring 2023
Developing A Smartphone Application to Assess All-Terrain Vehicles-Rider Fit
| ********** | |
| Farzaneh Khorsandi | |
| UC Davis |
Project's details
| Developing A Smartphone Application to Assess All-Terrain Vehicles-Rider Fit | |
| All-Terrain Vehicles (ATVs) are one major cause of youth injuries and fatalities on farms. These machines have heavy weights and fast speeds that require complex maneuvering. Previous research has shown that youth’s physical capabilities may not be sufficient to perform those complex maneuvers correctly; therefore, ATV-youth fit should be based on youth’s anthropometry and ATV design characteristics (e.g., height and width). However, current approaches for evaluating ATV-youth fit involve systematic methodologies and specific instrumentation for data collection. Moreover, the current methods contain several assumptions, limitations, and complex statistical analyses that are difficult to interpret for a lay public, all of which create significant barriers towards implementing practical applications. UC Davis Ag. Safety Lab developed the ATV-rider fit guideline. The Lab is seeking to create a smartphone application that uses computer vision (CV) and artificial intelligence (AI) techniques to automatically verify if the ATV is suitable for the rider. |
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| Students working on this project will assist in the development and deployment of a smartphone application. The application must use the smartphone’s camera to take images, and process and compare them to ATV-rider fit guidelines. The application should then inform the user whether the ATV is suitable for the rider. Design Criteria and Requirements: Collect several images from the user on the ATV • Process the images to extract information such as body angles and distances between various body parts • Compare user data to ATV-rider fit guidelines • Inform users whether the ATV is suitable for the ride |
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| • A working smartphone application that evaluates ATV-rider fit • Comprehensive documentation of all code developed |
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| • The ideal team will have experience with computer vision and data visualization and processing tools • Smartphone applications (either Android or iOS) • Knowledge of AI is definitely a plus but is not required |
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| ********** | |
| 30-60 min weekly or more | |
| Client wishes to keep IP of the project | |
| Attachment | Click here |
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| Team members | N/A |
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