1. Defining Research/Paper direction
•Emotion-aware Multimodal Systems: These systems analyze and interpret a user's emotions through multiple channels, such as facial expressions, voice intonations, and body language.
•Blockchain-based Emotion Recognition Models: This emerging field explores using blockchain technology to securely store and share emotional data, ensuring privacy and trust within the Metaverse.
•Edge-oriented Emotion Recognition Models: Processing emotion recognition tasks directly on user devices (edge computing) reduces latency and improves responsiveness within the Metaverse.
•Real-time Implementation of Multimodal Emotion Recognition: This focuses on developing systems that analyze emotions instantaneously, allowing for natural and seamless emotional expression within virtual interactions.
1. Related literature reading
1. More related literature reading
1. Blackice
2. PureScooter
1. Blackice
a. Project review
b. Problem/Solution definition
c. Dataset pre-processing proposal
2. PureScooter
a. Project preparation
1. Blackice
a. Coding of batch dataset pre-processing
b. Classification method training
2. PureScooter
a. Project preparation cont.
1. Finalize blackice detection project
2. Start PureScooter Phase 1
3. Establish paper timeline
4. Start 1st Journal paper
1. Attend 2 or more conference
2. Submit at least 2 Journal Paper