Talking nemo: Aquarium fish talks its mind for breeding support

Naohiro Isokawa, Jin Nakazawa, Yuuki Nishiyama, Kazunori Takashio, Tadashi Okoshi, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Have you ever talked to fish? If you can incorporate the feelings of your fish into breeding systems, life with your fish can become more comfortable, fun, and a greater experience overall. In breeding pets, owners often cannot properly understand their pet's internal state, which can lead to impaired health-or worse, loss of life-for the pet. In case of fish, such situations are more likely to occur than with dogs or cats, since owner-pet communication is more difficult with fish. Although fish are the most bred pets [1], information and communications technology (ICT)-based solutions for accelerating owner-pet interaction have not yet been sufficiently explored. We present "TalkingNemo," an aquarium fish breeding system that enables interaction between owners and their fish. TalkingNemo detects the condition of fish and their aquarium via a camera and sensors attached to the aquarium, and notifies users with speech balloons as from the perspective of the fish (Figure 1). TalkingNemo empowers us to breed fish in good condition over a longer period. This paper introduces the architecture and evaluates the results of TalkingNemo.

Original languageEnglish
Title of host publicationACI 2016 - 3rd International Conference on Animal Computer Interaction
Subtitle of host publicationBroadening Participation, Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450347587
DOIs
Publication statusPublished - 2016 Nov 15
Event3rd International Conference on Animal Computer Interaction, ACI 2016 - Milton Keynes, United Kingdom
Duration: 2016 Nov 152016 Nov 17

Publication series

NameACM International Conference Proceeding Series
Volume15-17-November-2016

Other

Other3rd International Conference on Animal Computer Interaction, ACI 2016
Country/TerritoryUnited Kingdom
CityMilton Keynes
Period16/11/1516/11/17

Keywords

  • Aquarium
  • Breeding System
  • Fish
  • Interaction

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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