IRIS: Wireless Ring for Vision-based Smart Home Interaction
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916336299409408 |
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| author | Kim, Maruchi Glenn, Antonio Veluri, Bandhav Lee, Yunseo Gebre, Eyoel Bagaria, Aditya Patel, Shwetak Gollakota, Shyamnath |
| author_facet | Kim, Maruchi Glenn, Antonio Veluri, Bandhav Lee, Yunseo Gebre, Eyoel Bagaria, Aditya Patel, Shwetak Gollakota, Shyamnath |
| contents | Integrating cameras into wireless smart rings has been challenging due to size and power constraints. We introduce IRIS, the first wireless vision-enabled smart ring system for smart home interactions. Equipped with a camera, Bluetooth radio, inertial measurement unit (IMU), and an onboard battery, IRIS meets the small size, weight, and power (SWaP) requirements for ring devices. IRIS is context-aware, adapting its gesture set to the detected device, and can last for 16-24 hours on a single charge. IRIS leverages the scene semantics to achieve instance-level device recognition. In a study involving 23 participants, IRIS consistently outpaced voice commands, with a higher proportion of participants expressing a preference for IRIS over voice commands regarding toggling a device's state, granular control, and social acceptability. Our work pushes the boundary of what is possible with ring form-factor devices, addressing system challenges and opening up novel interaction capabilities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18141 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | IRIS: Wireless Ring for Vision-based Smart Home Interaction Kim, Maruchi Glenn, Antonio Veluri, Bandhav Lee, Yunseo Gebre, Eyoel Bagaria, Aditya Patel, Shwetak Gollakota, Shyamnath Human-Computer Interaction Emerging Technologies Machine Learning Image and Video Processing Integrating cameras into wireless smart rings has been challenging due to size and power constraints. We introduce IRIS, the first wireless vision-enabled smart ring system for smart home interactions. Equipped with a camera, Bluetooth radio, inertial measurement unit (IMU), and an onboard battery, IRIS meets the small size, weight, and power (SWaP) requirements for ring devices. IRIS is context-aware, adapting its gesture set to the detected device, and can last for 16-24 hours on a single charge. IRIS leverages the scene semantics to achieve instance-level device recognition. In a study involving 23 participants, IRIS consistently outpaced voice commands, with a higher proportion of participants expressing a preference for IRIS over voice commands regarding toggling a device's state, granular control, and social acceptability. Our work pushes the boundary of what is possible with ring form-factor devices, addressing system challenges and opening up novel interaction capabilities. |
| title | IRIS: Wireless Ring for Vision-based Smart Home Interaction |
| topic | Human-Computer Interaction Emerging Technologies Machine Learning Image and Video Processing |
| url | https://arxiv.org/abs/2407.18141 |