GECO:用于高级物联网家庭系统的实时计算机视觉辅助手势控制器
Murilo C Lopes1, Paula A Silva2, Ludwing Marenco3,4
1Inatel Competence Center (ICC), National Institute of Telecommunications, João de Camargo Avenue 510, P.O. Box 05, Santa Rita do Sapucaí 37540-000, MG, Brazil.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
GECO为使用计算机视觉的智能家居提供直观的实时手势控制. 这种可访问,保护隐私的框架增强了每个人的物联网 (IoT) 设备交互.
科学领域:
- 人与计算机的交互
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 计算机视觉 计算机视觉
背景情况:
- 智能家居系统需要直观和可访问的控制方法.
- 现有的接口可能会对具有特定需求的用户构成障碍,例如语音障碍.
- 整合人工智能用于无设备管理是一个日益增长的研究领域.
研究的目的:
- 为了介绍GECO,一个新的手势控制器物联网智能家居.
- 通过计算机视觉实现无标记,实时控制家用设备.
- 评估系统的性能,可用性和包容性.
主要方法:
- 开发了一个使用无标记MediaPipe接口的计算机视觉辅助手势控制器 (GECO).
- 集成的二进制和模拟手势用于设备命令执行和导航.
- 通过私人MQTT网络实现设备内处理,以确保隐私和低延迟.
- 在Android设备上进行了技术评估和用户体验研究.
主要成果:
- 实现了超低延迟 (<50毫秒) 以实现实时响应.
- 用户对直观性 (9.5/10) 和手势准确性 (9.2/10) 的评分很高.
- 报告了显著的感知包容性,特别是对于语言障碍和低技术素养的用户.
结论:
- GECO为智能家居提供了一个轻量级,可访问和保护隐私的交互框架.
- 该系统通过直观的手势控制有效地推进了AI和物联网的整合.
- GECO提高了智能家居的可访问性和用户体验,特别是对于服务不足的人群.
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