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Orchestrating light - Gesture-based control of smart lighting

机译:编排灯-基于手势的智能照明控制

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摘要

In this paper, a gesture-based control system for smart lighting management is introduced. The system consists of multiple depth camera sensors that track the users’ positions, movements and gestures in real-time and forward the data to the main computer where the lighting control commands are generated. The implementation was built into the ‘ResponseRoom’ R&D environment, where two different lighting controls in a real-time installation were validated with the ability to dim and control colour by hand gestures. In order to study end user preference and to discover needs and guidelines for future development of the system, a user survey on gesture-based lighting control in a meeting room application was carried out. In the survey, no predetermined gesture vocabulary or real lighting control implementation were used. Instead, the respondents could freely develop their own gesture commands. Altogether 197 gained responses are analysed. The results reveal that generally intuitive control gestures are difficult to generate as there is a rather strong variability in personal preferences. The most popular gestures in the user survey were used by 25-30% of the respondents, 19% of all user responses in the test were multimodal combinations of different gestures, verbal expressions and sounds.
机译:本文介绍了一种基于手势的智能照明管理控制系统。该系统由多个深度摄像头传感器组成,这些传感器可以实时跟踪用户的位置,动作和手势,并将数据转发到生成照明控制命令的主计算机。该实现内置于“ ResponseRoom”研发环境中,在该环境中,实时安装中的两个不同的照明控件均经过验证,具有通过手势调暗和控制颜色的能力。为了研究最终用户的偏爱并发现系统未来开发的需求和指南,对会议室应用中基于手势的照明控制进行了用户调查。在调查中,没有使用预定的手势词汇或实际的照明控制实现。相反,受访者可以自由开发自己的手势命令。总共分析了197个获得的响应。结果表明,由于个人喜好差异很大,因此通常难以生成直观的控制手势。用户调查中最流行的手势被25-30%的受访者使用,测试中所有用户响应的19%是不同手势,语言表达和声音的多模式组合。

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