A support system for finding lost objects using spotlight

@inproceedings{Nakada2005ASS,
  title={A support system for finding lost objects using spotlight},
  author={Toyohisa Nakada and Hideaki Kanai and Susumu Kunifuji},
  booktitle={Mobile HCI},
  year={2005}
}
We propose a support system for finding lost objects indoors. The system employs active RFID and ultrasonic position detection to detect the position of a lost object. The system illuminates the position by using Movinglight, which is normally employed in stage lighting. From an experiment, the way of notification by light is better than that by sound in some situations. 
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27 Citations
Background Citations
12
Methods Citations
7

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27 Citations

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This paper attempts to design and implement an object detection system that when produced in large quantity can be affordable by the majority and provide solutions to the short-range problem experienced in the existing systems, thereby eliminating the stress of finding lost items in homes.
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The design and implementation of a dual-camera sensor network that can be used as a memory assistant tool for assisted living performs energy-efficient object detection and recognition of commonly misplaced objects and can seamlessly integrate feedback from the user to improve the robustness of object recognition.
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TLDR
Find My Stuff (FiMS) is a search engine for physical objects based on SmartFurniture equipped with RFID readers and ZigBee modules that offers the users a simple search interface to locate tagged physical items in different indoor environments.
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Functional evaluation of the prototype shows the approach's practicality with sufficient accuracy in realistic environments and low energy consumption, and two user studies showed that objects can be retrieved significantly faster with FiMS than manual search and that relative position cues provide better support than map-based cues.
Develop An Indoor Space Ontology For Finding Lost Properties for Location-Based Service of Smart City
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An indoor space ontology model for finding the indoor lost property is developed and both static and dynamic location information is presented for assisting BLE devices, users, and lost property.
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