A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation
Authors
Keywords
-
Journal
SENSORS
Volume 18, Issue 5, Pages 1622
Publisher
MDPI AG
Online
2018-05-21
DOI
10.3390/s18051622
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Model-based adaptive user interface based on context and user experience evaluation
- (2018) Jamil Hussain et al. Journal on Multimodal User Interfaces
- Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis
- (2017) Alireza Yousefpour et al. EXPERT SYSTEMS WITH APPLICATIONS
- A multi-sensor fusion framework for improving situational awareness in demanding maritime training
- (2017) Filippo Sanfilippo RELIABILITY ENGINEERING & SYSTEM SAFETY
- Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals
- (2017) Yong-Jin Liu et al. IEEE Transactions on Affective Computing
- Identifying Stable Patterns over Time for Emotion Recognition from EEG
- (2017) Wei-Long Zheng et al. IEEE Transactions on Affective Computing
- Audio-Visual Emotion Recognition in Video Clips
- (2017) Fatemeh Noroozi et al. IEEE Transactions on Affective Computing
- The Mining Minds digital health and wellness framework
- (2016) Oresti Banos et al. Biomedical Engineering Online
- UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices
- (2016) Kuo-Yi Lin et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Multimodal hybrid reasoning methodology for personalized wellbeing services
- (2016) Rahman Ali et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Fusing audio, visual and textual clues for sentiment analysis from multimodal content
- (2016) Soujanya Poria et al. NEUROCOMPUTING
- On Curating Multimodal Sensory Data for Health and Wellness Platforms
- (2016) Muhammad Amin et al. SENSORS
- Human Behavior Analysis by Means of Multimodal Context Mining
- (2016) Oresti Banos et al. SENSORS
- Eye tracking the user experience – An evaluation of ontology visualization techniques
- (2016) Bo Fu et al. Semantic Web
- A Survey of Affective Computing for Stress Detection: Evaluating technologies in stress detection for better health
- (2016) Shalom Greene et al. IEEE Consumer Electronics Magazine
- A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition
- (2016) Muhammad Hameed Siddiqi et al. PLoS One
- A Review and Meta-Analysis of Multimodal Affect Detection Systems
- (2015) Sidney K. D'mello et al. ACM COMPUTING SURVEYS
- Towards an intelligent framework for multimodal affective data analysis
- (2015) Soujanya Poria et al. NEURAL NETWORKS
- A new approach of audio emotion recognition
- (2014) Chien Shing Ooi et al. EXPERT SYSTEMS WITH APPLICATIONS
- YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
- (2013) Martin Wollmer et al. IEEE INTELLIGENT SYSTEMS
- Hybrid video emotional tagging using users’ EEG and video content
- (2013) Shangfei Wang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Towards Efficient Multi-Modal Emotion Recognition
- (2013) Simon Dobrišek et al. International Journal of Advanced Robotic Systems
- Ensemble of feature sets and classification algorithms for sentiment classification
- (2010) Rui Xia et al. INFORMATION SCIENCES
- Survey on speech emotion recognition: Features, classification schemes, and databases
- (2010) Moataz El Ayadi et al. PATTERN RECOGNITION
- Multimodal information fusion application to human emotion recognition from face and speech
- (2009) Muharram Mansoorizadeh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
- (2008) Zhihong Zeng et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started