Connected Closet - A Semantically Enriched Mobile Recommender System for Smart Closets

Kolstad, Anders Lorentzen; Özgöbek, Özlem; Gulla, Jon Atle; Litlehamar, Simon

doi:10.5220/0006298002980305

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…This enables the smart wardrobe to receive information for other function) The Research paper was published by University Brunei Darussalam, India in 2022. Koistad etal [9] recommended their use of daily wear using a ML algorithm. They proposed a wardrobe and mobile applications based on IoT, where they used RFID to identify the presence of clothes in the wardrobe.…”

Section: B Dress Location Detectionmentioning

confidence: 99%

Smart Bezzie - Intelligent Wardrobe for Cloth Management, Detection and Recommendation

G.S.A,

K.T.R.A.S,

R.M.A

et al. 2023

Int. J. Res. Publ. Rev.

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This paper proposes the development of an intelligent wardrobe system for clothing management, detection, and recommendation, as well as image processingbased virtual fit-on. The system utilizes machine learning algorithms and neural network based techniques to detect and identify the type, color, and pattern of clothes in the wardrobe. The intelligent system also keeps track of the user's clothing preferences and their daily routine to recommend appropriate outfits for different occasions and weather conditions. Moreover, the system uses image processing and neural network based techniques to create virtual fit on dress models where users can virtually try on different clothing items and see how they look before making a decision of what to wear. The proposed system incorporates IoT sensors and APIs to monitor the wardrobe's status, including temperature, humidity, and lighting, to maintain the quality of the garments. The system's evaluation shows that it can accurately detect, recommend clothes to users, and simulate virtual fit-on dress models, making it a promising solution for modern cloth management.

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Section: B Dress Location Detectionmentioning

confidence: 99%

Smart Bezzie - Intelligent Wardrobe for Cloth Management, Detection and Recommendation

G.S.A,

K.T.R.A.S,

R.M.A

et al. 2023

Int. J. Res. Publ. Rev.

View full text Add to dashboard Cite

show abstract

“…Similarly, but in the context of smart buildings, we found (Fotopoulou et al, 2017;Pinto et al, 2019) as relevant papers. On a different matter, in order to stimulate sustainability of the environment and the economy, Kolstad et al (2017Kolstad et al ( , 2018 presented a smart closet prototype that recommends what to donate or recycle.…”

Section: Recommender Systems and Smart Environmentmentioning

confidence: 99%