1. Characterizing Everyday Objects using Human Touch: Thermal Dissipation as a Sensing Modality
- Author
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Mohammad A. Hoque, Mohan Liyanage, Marko Radeta, Agustin Zuniga, Hilary Emenike, Rajesh Sharma, Huber Flores, Petteri Nurmi, Farooq Dar, and Department of Computer Science
- Subjects
IoT ,Ubiquitous computing ,Modality (human–computer interaction) ,Computer science ,business.industry ,mobile computing ,Mobile computing ,material sensing ,02 engineering and technology ,010501 environmental sciences ,Dissipation ,113 Computer and information sciences ,Object (computer science) ,01 natural sciences ,Thermal dissipation ,Thermal radiation ,pervasive computing ,Heat transfer ,thermal imaging ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,business ,0105 earth and related environmental sciences - Abstract
We contribute MIDAS as a novel sensing solution for characterizing everyday objects using thermal dissipation. MIDAS takes advantage of the fact that anytime a person touches an object, it results in heat transfer. By capturing and modeling the dissipation of the transferred heat, e.g., through the decrease in the captured thermal radiation, MIDAS can characterize the object and determine its material. We validate MIDAS through extensive empirical benchmarks and demonstrate that MIDAS offers an innovative sensing modality that can recognize a wide range of materials - with up to 83% accuracy - and generalize to variations in the people interacting with objects.
- Published
- 2021
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