Son, 2017 - Google Patents
Toward a proposed framework for mood recognition using LSTM recurrent neuron networkSon, 2017
View PDF- Document ID
- 5530354343727494633
- Author
- Son H
- Publication year
- Publication venue
- Procedia computer science
External Links
Snippet
Affective analysis plays an important role in understanding human characteristics, predicting human behavior and diagnosing mental health problems. Although a large number of affective recognition researches have been published, predicting mood-the long lasting …
- 230000036651 mood 0 title abstract description 82
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Son | Toward a proposed framework for mood recognition using LSTM recurrent neuron network | |
US10885800B2 (en) | Human performance optimization and training methods and systems | |
US20190057615A1 (en) | Methods and systems for monitoring and treating individuals with sensory processing conditions | |
US20180144101A1 (en) | Identifying diagnosis-relevant health information | |
Paraschiakos et al. | Activity recognition using wearable sensors for tracking the elderly | |
KR102053604B1 (en) | Method for sleeping analysis and device for sleeping analysis using the same | |
CN111465949A (en) | Information processing apparatus, information processing method, and program | |
US20220167916A1 (en) | Intelligent diet, sleep and stress management | |
Hssayeni et al. | Deep learning for medication assessment of individuals with Parkinson’s disease using wearable sensors | |
Arnrich | A survey on measuring happiness with smart phones | |
Ngu et al. | Personalized watch-based fall detection using a collaborative edge-cloud framework | |
Dharia et al. | PRO-Fit: Exercise with friends | |
Frederiks et al. | Mobile social physiology as the future of relationship research and therapy: Presentation of the bio-app for bonding (BAB) | |
Kumar et al. | Smart band for elderly fall detection using machine learning | |
US11291394B2 (en) | System and method for predicting lucidity level | |
Lim et al. | Developing a mobile wellness management system for healthy lifestyle by analyzing daily living activities | |
Geher et al. | The validity and structure of mating intelligence | |
Zamani et al. | The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data | |
Sharmin et al. | Opportunities and challenges in designing participant-centric smoking cessation system | |
Zimmermann | Elderly activity recognition using smartphones and wearable devices | |
JP7426015B1 (en) | Healthcare data analysis system | |
Fang et al. | Improving personalised physical activity recommendation on the mHealth information service using deep reinforcement learning | |
Zaman et al. | Emotion detection for children on the autism Spectrum using BCI and web technology | |
Crochiere | Integrating sensor technology and machine learning to target dietary lapses | |
Reiser | Predicting and Visualizing Daily Mood of People Using Tracking Data of Consumer Devices and Services |