GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery

GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
复制标题

DOI:
10.1145/3397481.3450664
复制
发表时间:
2021-01
期刊:
Proceedings of the 26th International Conference on Intelligent User Interfaces
影响因子:
--
通讯作者:
Takuma Yagi;Takumi Nishiyasu;Kunimasa Kawasaki;Moe Matsuki;Yoichi Sato
Takuma Yagi;Takumi Nishiyasu;Kunimasa Kawasaki;Moe Matsuki;Yoichi Sato
中科院分区:
其他
文献类型:
--
作者:
Takuma Yagi;Takumi Nishiyasu;Kunimasa Kawasaki;Moe Matsuki;Yoichi Sato

文献摘要

相似文献

人们花费大量的时间和精力寻找丢失的物品。为了帮助提醒人们丢失物品的位置,已经开发了各种提供关于其位置的信息的计算系统。然而,用于帮助人们寻找对象的现有系统需要用户预先登记目标对象。这一要求给用户带来了沉重的负担,系统无法提醒他们意外丢失的物品。我们提出了GO-100(“通用对象识别”),一个免注册的可穿戴相机系统,用于帮助人们找到任意数量的对象的基础上两个关键功能:自动发现的手持对象和基于图像的候选人选择。给定从可穿戴摄像头拍摄的视频,Go-Escape自动检测并分组手持对象,以形成对象的视觉时间轴。用户可以通过智能手机应用程序浏览时间轴来检索对象的最后一次出现。我们进行了一项用户研究,以调查用户如何从使用GO搜索中受益,并通过提供对象位置的清晰视觉线索来确认提高的准确性和减少的对象搜索任务的心理负荷。
People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, various computational systems that provide information on their locations have been developed. However, prior systems for assisting people in finding objects require users to register the target objects in advance. This requirement imposes a cumbersome burden on the users, and the system cannot help remind them of unexpectedly lost objects. We propose GO-Finder (“Generic Object Finder”), a registration-free wearable camera based system for assisting people in finding an arbitrary number of objects based on two key features: automatic discovery of hand-held objects and image-based candidate selection. Given a video taken from a wearable camera, Go-Finder automatically detects and groups hand-held objects to form a visual timeline of the objects. Users can retrieve the last appearance of the object by browsing the timeline through a smartphone app. We conducted a user study to investigate how users benefit from using GO-Finder and confirmed improved accuracy and reduced mental load regarding the object search task by providing clear visual cues on object locations.