Implementation and Customization of a Smart Mirror through a Facial Recognition Authentication and a Personalized News Recommendation Algorithm

Garcia, Ivette Cristina Araujo; Salmon, Eduardo Rodrigo Linares; Riega, Rosario Villalta; Padilla, Alfredo Barrientos

doi:10.1109/sitis.2017.17

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…The reason to use incremental model for the proposed system is that system consist of small modules or functionalities. The modules requirements might change during the development phase so it provides freedom and options more than rigidly developing using sequential way, García et al (2017).…”

Section: Methodology and Software Lifecycle For This Projectmentioning

confidence: 99%

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

2021

aijser

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This paper output is a music player application but when it comes to its features it will be way more than a simple music player. It is developed on Android Studio and other tools like: Firebase is used as database, Android phone camera, Music library of Android Phone are used in the development of application. When user changes his phone or reset his phone then all of his data is lost or user has to put all the data in his computer and then back to his mobile phone except data that is backed up online. Message data, photos and contacts are that things that users backed up online. But music files normally don’t get backed up and user troubles in re downloading the files or moving files in computer and back to phone. In this purposed work the targeted problem is resolved as MUSYNC application is be able to automatically backup all the mp3 data from the phone and user will get all of his data by just signing in the application in his new phone. The purposed application has a feature of sync music. Users can sync music with another one and that person will able to listen to same music instantly. Application also provides a unique feature of mood detection using digital image processing DIP. This feature is able to check your face emotion and play music according to it. User just has to take a picture and that is it, this music player plays the music according to your mood. This feature is useful when user having tough time what to listen.

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Section: Methodology and Software Lifecycle For This Projectmentioning

confidence: 99%

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

2021

aijser

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“…Several smart mirrors are equipped not only with visual input but also with audio input. Most of these mirrors use voice control algorithms to access the mirror functions [7,18,23], others exploit the combination of audio-video recognition to obtain more robust security protocols [8,15]. More complex mirrors take advantage of technologies such as: Global System Module (GSM) to send emergency calls [4]; Ambient Intelligence (AMI) to control a set of custom services [5]; and Augmented Reality (AR) to provide education and entertainment services [14].…”

Section: Smart Mirror Prototypesmentioning

confidence: 99%

A Smart Mirror for Emotion Monitoring in Home Environments

Bianco

Celona

Ciocca

et al. 2021

Sensors

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Smart mirrors are devices that can display any kind of information and can interact with the user using touch and voice commands. Different kinds of smart mirrors exist: general purpose, medical, fashion, and other task specific ones. General purpose smart mirrors are suitable for home environments but the exiting ones offer similar, limited functionalities. In this paper, we present a general-purpose smart mirror that integrates several functionalities, standard and advanced, to support users in their everyday life. Among the advanced functionalities are the capabilities of detecting a person’s emotions, the short- and long-term monitoring and analysis of the emotions, a double authentication protocol to preserve the privacy, and the integration of Alexa Skills to extend the applications of the smart mirrors. We exploit a deep learning technique to develop most of the smart functionalities. The effectiveness of the device is demonstrated by the performances of the implemented functionalities, and the evaluation in terms of its usability with real users.

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“…Voice recognition technology that allows the users to interact with the system via voice commands has also utilized in [6]- [8]. Hossain et al [9] have focused on designing a smart mirror that facilitates controlling home devices and it verifies users' identities through face recognition technology.…”

Section: Related Workmentioning

confidence: 99%

Smart information desk system with voice assistant for universities

Alboaneen

Alsaffar

Alqahtani

et al. 2021

IJECE

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This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.

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Implementation and Customization of a Smart Mirror through a Facial Recognition Authentication and a Personalized News Recommendation Algorithm

Cited by 11 publications

References 9 publications

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

A Smart Mirror for Emotion Monitoring in Home Environments

Smart information desk system with voice assistant for universities

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