纹理视图

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xue Wang, Yang Zhang
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引用次数: 0

摘要

用户双手接触的物品包含丰富的上下文信息,因为它们与用户的活动密切相关。牙刷和湿巾等工具表示清洁和卫生,而鼠标和键盘则表示工作。很多研究都致力于感知手部接触的物体,从而为可穿戴设备提供隐式交互,或为环境计算提供个人信息学。我们提出了一种智能环形传感器--TextureSight,它可以通过环形激光斑点成像技术检测手接触物体的独特表面纹理。我们进行了为期两天的经验取样研究,以调查日常物体纹理组合的统一性和可重复性。我们以理论模型和模拟作为传感的基础,利用最先进的深度神经网络技术为其提供动力,并通过用户研究对其进行评估。TextureSight 能够在不产生电磁干扰或振动的情况下感知被动物体,并且消除了保护用户隐私的镜头,从而为活动识别和情境感知计算提供了一种全新的实用方法,是对文献的宝贵补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TextureSight
Objects engaged by users' hands contain rich contextual information for their strong correlation with user activities. Tools such as toothbrushes and wipes indicate cleansing and sanitation, while mice and keyboards imply work. Much research has been endeavored to sense hand-engaged objects to supply wearables with implicit interactions or ambient computing with personal informatics. We propose TextureSight, a smart-ring sensor that detects hand-engaged objects by detecting their distinctive surface textures using laser speckle imaging on a ring form factor. We conducted a two-day experience sampling study to investigate the unicity and repeatability of the object-texture combinations across routine objects. We grounded our sensing with a theoretical model and simulations, powered it with state-of-the-art deep neural net techniques, and evaluated it with a user study. TextureSight constitutes a valuable addition to the literature for its capability to sense passive objects without emission of EMI or vibration and its elimination of lens for preserving user privacy, leading to a new, practical method for activity recognition and context-aware computing.
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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