Using gestures to interact with home automation systems

M. Villanueva, O. Drögehorn
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引用次数: 4

Abstract

Homes and working spaces are considered significant contributors to the top percentage of energy consumption and carbon emissions worldwide (GeSI Report, 2017). Previous studies in the field of home- and building automation have demonstrated the sustainability gain brought by smart home solutions, in terms of energy efficiency, economic savings, and enhanced living and working conditions. A major barrier, however, to the adoption of these solutions is the complexity and limited usability of user interfaces. In addition, various modes of interactions for the control and automation of residential environments are an emerging area of study within Human-Computer Interaction. As a response to these challenges, this study investigates the use of gestures as a natural way of controlling and interacting with home automation systems. Using the available motion capture technology, a gesture dictionary will be defined as a set of meaning actions in free-form and in-air movements. A usability test will be conducted to measure the resulting socio-technical aspects. Lastly, the study will present the analysis and effects of gesture control for a higher uptake of smart home solutions towards designing and maintaining buildings of the future that are both user-centric and resource-efficient to reduce our overall carbon footprint.
使用手势与家庭自动化系统交互
家庭和工作空间被认为是全球能源消耗和碳排放比例最高的重要贡献者(GeSI报告,2017年)。以前在家庭和楼宇自动化领域的研究已经证明了智能家居解决方案在能源效率、经济节约和改善生活和工作条件方面带来的可持续性收益。然而,采用这些解决方案的一个主要障碍是用户界面的复杂性和有限的可用性。此外,用于控制和自动化住宅环境的各种交互模式是人机交互研究的新兴领域。作为对这些挑战的回应,本研究调查了手势作为控制和与家庭自动化系统交互的自然方式的使用。使用现有的动作捕捉技术,手势字典将被定义为一组自由形式和空中运动的意义动作。可用性测试将被执行,以衡量由此产生的社会技术方面。最后,该研究将介绍手势控制的分析和效果,以提高智能家居解决方案的采用,设计和维护未来的建筑,既以用户为中心,又节约资源,以减少我们的整体碳足迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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