LUX: Smart Mirror with Sentiment Analysis for Mental Comfort
As COVID-19 solidifies its presence in everyday life, the interest in mental health is growing, resulting in the necessity of sentiment analysis. A smart mirror is suitable for encouraging mental comfort due to its approachability and scalability as an in-home AI device. From the aspect of natural l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/9/3092 |
| _version_ | 1797535843839115264 |
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| author | Hyona Yu Jihyun Bae Jiyeon Choi Hyungseok Kim |
| author_facet | Hyona Yu Jihyun Bae Jiyeon Choi Hyungseok Kim |
| author_sort | Hyona Yu |
| collection | DOAJ |
| description | As COVID-19 solidifies its presence in everyday life, the interest in mental health is growing, resulting in the necessity of sentiment analysis. A smart mirror is suitable for encouraging mental comfort due to its approachability and scalability as an in-home AI device. From the aspect of natural language processing (NLP), sentiment analysis for Korean lacks an emotion dataset regarding everyday conversation. Its significant differences from English in terms of language structure make implementation challenging. The proposed smart mirror LUX provides Korean text sentiment analysis with the deep learning model, which examines GRU, LSTM, CNN, Bi-LSTM, and Bi-GRU networks. There are four emotional labels: anger, sadness, neutral, and happiness. For each emotion, there are three possible interactive responses: reciting wise sayings, playing music, and sympathizing. The implemented smart mirror also includes more-typical functions, such as a wake-up prompt, a weather reporting function, a calendar, a news reporting function, and a clock. |
| first_indexed | 2024-03-10T11:51:04Z |
| format | Article |
| id | doaj.art-6364ae3e63574bae9eb35018e06473b6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:51:04Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6364ae3e63574bae9eb35018e06473b62023-11-21T17:42:19ZengMDPI AGSensors1424-82202021-04-01219309210.3390/s21093092LUX: Smart Mirror with Sentiment Analysis for Mental ComfortHyona Yu0Jihyun Bae1Jiyeon Choi2Hyungseok Kim3School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, KoreaSchool of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, KoreaSchool of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, KoreaSchool of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, KoreaAs COVID-19 solidifies its presence in everyday life, the interest in mental health is growing, resulting in the necessity of sentiment analysis. A smart mirror is suitable for encouraging mental comfort due to its approachability and scalability as an in-home AI device. From the aspect of natural language processing (NLP), sentiment analysis for Korean lacks an emotion dataset regarding everyday conversation. Its significant differences from English in terms of language structure make implementation challenging. The proposed smart mirror LUX provides Korean text sentiment analysis with the deep learning model, which examines GRU, LSTM, CNN, Bi-LSTM, and Bi-GRU networks. There are four emotional labels: anger, sadness, neutral, and happiness. For each emotion, there are three possible interactive responses: reciting wise sayings, playing music, and sympathizing. The implemented smart mirror also includes more-typical functions, such as a wake-up prompt, a weather reporting function, a calendar, a news reporting function, and a clock.https://www.mdpi.com/1424-8220/21/9/3092sentiment analysissmart mirrorNLPdeep learningraspberry Piaffective computing |
| spellingShingle | Hyona Yu Jihyun Bae Jiyeon Choi Hyungseok Kim LUX: Smart Mirror with Sentiment Analysis for Mental Comfort Sensors sentiment analysis smart mirror NLP deep learning raspberry Pi affective computing |
| title | LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |
| title_full | LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |
| title_fullStr | LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |
| title_full_unstemmed | LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |
| title_short | LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |
| title_sort | lux smart mirror with sentiment analysis for mental comfort |
| topic | sentiment analysis smart mirror NLP deep learning raspberry Pi affective computing |
| url | https://www.mdpi.com/1424-8220/21/9/3092 |
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