库克AR:可穿戴AR的负担能力增加,以支持视力低下的人的厨房工具交互
Jaewook Lee1, Andrew D Tjahjadi1, Jiho Kim1
1University of Washington Seattle, WA, USA.
概括
这项研究介绍了CookAR,一个增强现实 (AR) 系统,帮助视力低下 (LV) 的人安全地做饭. 该系统使用计算机视觉为厨房工具提供实时视觉线索,提高任务效率.
科学领域:
- 人与计算机的交互
- 计算机视觉 计算机视觉
- 辅助技术 辅助技术 辅助技术
背景情况:
- 对于独立和幸福至关重要.
- 低视力 (LV) 在安全使用厨房工具方面存在重大挑战.
- 现有的辅助技术往往缺乏实时,上下文意识的支持.
研究的目的:
- 开发和评估CookAR,一种增强现实 (AR) 系统,用于低视力 (LV) 患者的安全和高效.
- 利用计算机视觉 (CV) 在厨房环境中实现实时对象负担能力增强.
主要方法:
- 收集并注释了第一个对厨房工具负担能力的自我中心数据集.
- 使用CV.微调了一个负担能力细分模型.
- 开发了一种头部装载的AR系统,配有立体相机用于视觉增强.
- 对10名LV参与者进行了技术评估和定性用户研究.
主要成果:
- 微调的负担细分模型在定制数据集上表现优于基线.
- 技术评估证实了该模型的有效性.
- 用户研究参与者更喜欢负担能力增强,而不是传统的整体对象增强.
结论:
- CookAR有效地增强了LV患者的厨房工具互动.
- 实时负担能力增强显示出作为日常生活活动的辅助技术的希望.
- 进一步开发可以优化AR系统,以提高独立性和安全性.
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