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Complete fashion coordinator: a support system for capturing and selecting daily clothes with social networks

Published: 26 May 2010 Publication History

Abstract

For some people, selecting the clothes you wear is sometimes tedious, difficult and requires you to remember what you have previously worn. While there are many fashion SNS (Social Networking Services) sites and related research devoted to addressing certain aspects of this issue, there is no system that combines both the automated cataloguing of one's own clothes with near real-time recommendation by their social network. In this paper, we propose a novel system which allows users to easily organize and optimize their daily clothing selection based on historical data. By combining historical information about what the user has worn with several options such as the user's planned activities and the weather, it can help the user in coordinating what to wear. In order to simplify and automate the capture, storage and cataloging of image of the users clothing, we propose a system which allows for the automatic and standardized capturing of a person's clothes by simply hanging an item on a hook built into a cabinet. Furthermore, by utilizing the internet and common SNS sites, it allows friends, family living apart and/or romantic couples to seamlessly share the catalogued photos of their clothes, initiate conversation and help select what is appropriate to wear.

References

[1]
AVENUE7 http://www.avenue7.com/
[2]
FashionMash http://fashionmash.com/
[3]
GirlSense http://www.girlsense.com/
[4]
Mystylist http://www.pupe.co.jp/.
[5]
StyleMob http://www.stylemob.com/.
[6]
Zugara http://www.zugara.com/
[7]
E. Shen, H. Lieberman, and F. Lam. What am I gonna wear?: scenario-oriented recommendation. In IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces, pp. 365--368, New York, NY, USA, 2007. ACM.
[8]
I. Siio, J. Rowan, N. Mima, and E. Mynatt. Digital Decor: Augmented Everyday Things. In Graphics Interface 2003, pp. 159--166, June 11--13 2003.
[9]
D. Wan. Magic Wardrobe: Situated Shopping from your own Bedroom. Personal Ubiquitous Comput., 4(4):234--237, 2000.

Cited By

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  • (2024)AI based Fashion Stylist Recommendation System2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom61295.2024.10498329(697-701)Online publication date: 28-Feb-2024
  • (2024)Talkin’ Closet Plus: Interactive Clothing Selection Support System Through Various Opinions of Speech from ClothesDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-60012-8_24(383-398)Online publication date: 29-Jun-2024
  • (2023)Study of AI-Driven Fashion Recommender SystemsSN Computer Science10.1007/s42979-023-01932-94:5Online publication date: 5-Jul-2023
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Published In

cover image ACM Other conferences
AVI '10: Proceedings of the International Conference on Advanced Visual Interfaces
May 2010
427 pages
ISBN:9781450300766
DOI:10.1145/1842993
  • Editor:
  • Giuseppe Santucci
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 May 2010

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Author Tags

  1. communication
  2. fashion coordination
  3. recommendation
  4. social network

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AVI '10
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Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

View all
  • (2024)AI based Fashion Stylist Recommendation System2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom61295.2024.10498329(697-701)Online publication date: 28-Feb-2024
  • (2024)Talkin’ Closet Plus: Interactive Clothing Selection Support System Through Various Opinions of Speech from ClothesDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-60012-8_24(383-398)Online publication date: 29-Jun-2024
  • (2023)Study of AI-Driven Fashion Recommender SystemsSN Computer Science10.1007/s42979-023-01932-94:5Online publication date: 5-Jul-2023
  • (2023)BingoFit: A Bingo Clothes Presentation System for Utilizing Owned ClothesHCI International 2023 Posters10.1007/978-3-031-35998-9_2(10-17)Online publication date: 9-Jul-2023
  • (2022)Controllable automatic generation of non‐player characters in 3D anime styleComputer Animation and Virtual Worlds10.1002/cav.204734:2Online publication date: 13-Apr-2022
  • (2021)Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design SolutionsSensors10.3390/s2112423921:12(4239)Online publication date: 21-Jun-2021
  • (2021)Fashion Recommendation Systems, Models and Methods: A ReviewInformatics10.3390/informatics80300498:3(49)Online publication date: 26-Jul-2021
  • (2021)Climaxing VR Character with Scene-Aware Aesthetic Dress Synthesis2021 IEEE Virtual Reality and 3D User Interfaces (VR)10.1109/VR50410.2021.00026(57-64)Online publication date: Mar-2021
  • (2021)Aggregating Everyday Outfits by Incremental Clustering With Interactive User AdaptationIEEE Access10.1109/ACCESS.2021.31049739(121467-121475)Online publication date: 2021
  • (2018)Oz's Fitting RoomProceedings of the 7th ACM International Symposium on Pervasive Displays10.1145/3205873.3210711(1-2)Online publication date: 6-Jun-2018
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