I am currently working on a research project that explores the design of landmine-detection shoes by embedding compact sensors such as electromagnetic induction coils, ground-penetrating radar (GPR), vibration/acoustic sensors, and inertial measurement units (IMUs) within the sole of footwear.
The aim is to create a portable, wearable solution that can detect buried metallic and non-metallic mines while ensuring user safety and comfort. A key challenge is the variation in soil type, moisture, and mineral content, which strongly influences detection performance.
I would like to learn from the community:
- Which sensor technologies (metal detection, GPR, acoustic, chemical, or hybrid) have shown the best results for miniaturization and field usability?
- Are there successful examples or case studies of wearable or body-mounted landmine detection systems?
- What approaches to signal processing or machine learning have been most effective in reducing false positives in cluttered environments?
- Any recommendations for key references, patents, or datasets related to wearable mine-detection research?
Your insights and suggestions will greatly help refine the methodology of this study.
The most effective sensing technologies for landmine detection in wearable systems like shoes are ground-penetrating radar (GPR), metal detectors, and chemical/explosive sensors.
- GPR works well in different soil types by detecting buried objects.
- Metal detectors are useful but less effective in soils with high mineral content.
- Chemical/explosive sensors can detect traces of explosives in the air or soil, which helps when mines contain little or no metal.
A combination of these sensors usually gives the best results, since soil conditions vary and no single technology works perfectly everywhere.
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