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Everyday, our hands touch a wide range of surfaces and our feet walk across different surfaces. Enabling our smart devices and wearable interfaces to identify those surfaces will provide important contextual information that could allow applications and services to adapt to the conditions and create usable functions and experiences. This chapter presents two case studies, RadarFoot and MicroCam, that enable surface detection via smart devices and wearables using vision (camera-based) and non-vision approaches. RadarFoot utilises a radar sensor-embedded smart shoe to identify walking surfaces and surface conditions, while MicroCam utilises the built-in microscope camera of a phone to capture intricate surface details. This chapter will present the development of the two interfaces, the technical and user experience evaluation findings, and potential applications. Finally, we will compare and contrast the two technologies and discuss the advantages and disadvantages of the radar-based approach compared with a vision-based approach.

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Fine-Grained Context Awareness with Radar-Based and Vision-Based Surface Sensing

  • 章节

  • 发表日期：

    2026年

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  • Yongquan ‘Owen’ Hu,
  • Don Samitha Elvitigala,
  • Aaron J. Quigley

摘要

Everyday, our hands touch a wide range of surfaces and our feet walk across different surfaces. Enabling our smart devices and wearable interfaces to identify those surfaces will provide important contextual information that could allow applications and services to adapt to the conditions and create usable functions and experiences. This chapter presents two case studies, RadarFoot and MicroCam, that enable surface detection via smart devices and wearables using vision (camera-based) and non-vision approaches. RadarFoot utilises a radar sensor-embedded smart shoe to identify walking surfaces and surface conditions, while MicroCam utilises the built-in microscope camera of a phone to capture intricate surface details. This chapter will present the development of the two interfaces, the technical and user experience evaluation findings, and potential applications. Finally, we will compare and contrast the two technologies and discuss the advantages and disadvantages of the radar-based approach compared with a vision-based approach.