Predicting Change in Emotion through Ordinal Patterns and Simple Symbolic Expressions
Human interlocutors may use emotions as an important signaling device for coordinating an interaction. In this context, predicting a significant change in a speaker’s emotion may be important for regulating the interaction. Given the nonlinear and noisy nature of human conversations and relatively s...
Main Authors: | Yair Neuman, Yochai Cohen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/13/2253 |
Similar Items
-
Exploring EEG Emotion Recognition through Complex Networks: Insights from the Visibility Graph of Ordinal Patterns
by: Longxin Yao, et al.
Published: (2024-03-01) -
Algorithmics, Possibilities and Limits of Ordinal Pattern Based Entropies
by: Albert B. Piek, et al.
Published: (2019-05-01) -
Teaching Ordinal Patterns to a Computer: Efficient Encoding Algorithms Based on the Lehmer Code
by: Sebastian Berger, et al.
Published: (2019-10-01) -
Learning artificial number symbols with ordinal and magnitude information
by: Hanna Weiers, et al.
Published: (2023-06-01) -
Using the Information Provided by Forbidden Ordinal Patterns in Permutation Entropy to Reinforce Time Series Discrimination Capabilities
by: David Cuesta-Frau
Published: (2020-04-01)