Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

There currently are no shoe-scanning devices developed in the United States that can operate in a real-world, variable-weather environment in real-time. Forensics-focused groups, including the NIJ, expressed the need for such a system. To accomplish this, there was first a need to collect a large amount of sample data to train a first-of-its-kind machine-learning model. The work aimed to develop a system to collect shoe scans of a populace in real-time as they walk without committing privacy violations. This system would be able to identify specific traits found on the soles of the shoes, enabling insight into the origins of the shoes, where and how they are worn, as well as the people who wear them. The primary question of this research is if we could develop a prototype of such a system and what challenges would have to be overcome to make this possible.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-29
DOI
https://doi.org/10.1177/10711813241265340
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

Colten Fales, Richard Stone, Braden Westby, Nell Jaskowiak
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human Pose and Action Recognition
article

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

Colten Fales, Richard Stone, Braden Westby, Nell Jaskowiak
article en

Abstract

There currently are no shoe-scanning devices developed in the United States that can operate in a real-world, variable-weather environment in real-time. Forensics-focused groups, including the NIJ, expressed the need for such a system. To accomplish this, there was first a need to collect a large amount of sample data to train a first-of-its-kind machine-learning model. The work aimed to develop a system to collect shoe scans of a populace in real-time as they walk without committing privacy violations. This system would be able to identify specific traits found on the soles of the shoes, enabling insight into the origins of the shoes, where and how they are worn, as well as the people who wear them. The primary question of this research is if we could develop a prototype of such a system and what challenges would have to be overcome to make this possible.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
Iowa State University (US)
National Institute of Standards and Technology, National Institute of Justice
Openalex Percentile: Top 87%
Human Pose and Action Recognition
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