InstaMood. Mood Photo Sharing on Mobile

InstaMood. Mood Photo Sharing on Mobile

InstaMood App
InstaMood Android Mobile App

InstaMood is a Social Network for sharing photos with a mood using facial expressions. The App can be accessed using Facebook and allows to send photo messages selecting the mood that you are going to express taking a selfie.

Once logged-in users can select a mood they want to reproduce in their photo choosing between a set of six emotions represented through icons. The selection of the emotions has been done on the basis of the studies of Paul Ekman who has identified 6 pan-cultural expressions (angry, fearful, disgusted, happy, sad, surprised). Finally, the user can open the device camera, take a selfie trying to reproduce the emotion and send it to his Facebook friends. In order to exclude photos where no face is present the app uses the tracking.js lib which performs face detection. Photo messages can be sent to Facebook friends through the App. Messages are threaded.

The idea and and the interaction Design are by Andrea Ferracani and Daniele Pezzatini (Media Integration and Communication Center – UniFi, IT). Graphic Design and Development are by by Mariem Haida, Irene Rosadi and Elena Sesoldi.

The app has been developed at the Media Integration and Communication Center of the University of Florence by Mariem Haida, Irene Rosadi and Elena Sesoldi under the supervision of Alberto Del Bimbo, Andrea Ferracani and Daniele Pezzatini (MICC) for the Cource of Multimedia Design and Production.

Imaging Novecento: a Mobile App for the Museo Novecento in Florence

Imaging Novecento: a Mobile App for the Museo Novecento in Florence

Imaging Novecento logo

Imaging Novecento is a mobile application for Android which allows visitors of the Museo Novecento in Florence, IT to frame some of the artworks in the halls of the museum which are automatically recognized by the application.

For each work the app provides some notes on the artist and his work style. In addition the user can select his own image from the device gallery and apply the style of the work on his picture.

Within minutes the processing result is sent to the user email. The photos can then be shared on the main social networks.

The app has been selected and developed in the context of “INNOVecento – Novecento Museum Innovation Lab”, a competition notice proposed by the Municipality of Florence, in order to enhance and continue the innovative vocation of its museums. The notice intends to call businesses and professionals to propose ideas and solutions based on ICT. Accepted proposals can be tested in the next months for a specified period of time at the Museo Novecento in Florence.

We presented our proposal as researchers of the NEMECH New Media for Cultural Heritage. NEMECH is a Competence Centre of Cultural Heritage established by Regione Toscana and activated by MICC – University of Florence, headed by the director Alberto Del Bimbo.

The idea, the design and the implementation of the app have been carried out by Andrea Ferracani, Daniele Pezzatini, Lea Landucci, Tiberio Uricchio and Federico Becattini, researchers at MICC.

smArt: Open and Interactive Indoor Cultural Data

smArt: Open and Interactive Indoor Cultural Data

smArt is a low-cost framework to quickly set up indoor exhibits featuring a smart navigation system for museums.

The framework is web-based and allows the design on a digital map of a sensorized museum environment and the dynamic and assisted definition of the multimedia materials and sensors associated to the artworks.

The knowledge-base uses semantic technologies and it is ex-ploited by museum visitors to get directions and to have multimedia insights in a natural way.

Indoor localisation and routing is provided taking advantage of active and passive sensors advertisements and user interactions. In this way we overcome the Global Positioning System (GPS) un-availability issue in indoor environments.

The system will be presented at ACM Multimedia 2015, Brisbane, Australia in the Demos Track.

The system started as a project developed by the students Riccardo Del Chiaro, Franco Yang, Maurizio Sanesi and Alberto Merciai as final work for the Bachelor of Art at the Faculty of Engineering of University of Florence under the supervision of prof. Alberto Del Bimbo, and his assistants Andrea Ferracani and Daniele Pezzatini.

The work was born from an idea by Andrea Ferracani and Daniele Pezzatini, researchers at MICC and prof. Alberto Del Bimbo collaborators.