scholarly journals Emotion Estimation in Speech Using a 3D Emotion Space Concept

10.5772/4755 ◽  
2007 ◽  
Author(s):  
Michael Grimm ◽  
Kristian Kroschel
Keyword(s):  
Emotion Estimation ◽  
Space Concept ◽  
Emotion Space

scholarly journals Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2910
Author(s):  
Kei Suzuki ◽  
Tipporn Laohakangvalvit ◽  
Ryota Matsubara ◽  
Midori Sugaya
Keyword(s):  
Feature Selection ◽  
Single Channel ◽  
Feature Selection Method ◽  
Classification Model ◽  
Features Selection ◽  
Selection Methods ◽  
Emotion Classification ◽  
Model Based ◽  
Physiological Indexes ◽  
Emotion Estimation

In human emotion estimation using an electroencephalogram (EEG) and heart rate variability (HRV), there are two main issues as far as we know. The first is that measurement devices for physiological signals are expensive and not easy to wear. The second is that unnecessary physiological indexes have not been removed, which is likely to decrease the accuracy of machine learning models. In this study, we used single-channel EEG sensor and photoplethysmography (PPG) sensor, which are inexpensive and easy to wear. We collected data from 25 participants (18 males and 7 females) and used a deep learning algorithm to construct an emotion classification model based on Arousal–Valence space using several feature combinations obtained from physiological indexes selected based on our criteria including our proposed feature selection methods. We then performed accuracy verification, applying a stratified 10-fold cross-validation method to the constructed models. The results showed that model accuracies are as high as 90% to 99% by applying the features selection methods we proposed, which suggests that a small number of physiological indexes, even from inexpensive sensors, can be used to construct an accurate emotion classification model if an appropriate feature selection method is applied. Our research results contribute to the improvement of an emotion classification model with a higher accuracy, less cost, and that is less time consuming, which has the potential to be further applied to various areas of applications.

SATU UNTUK TIGA : HUNIAN MULTIGENERASI

2021 ◽  
Vol 3 (1) ◽  
pp. 1191
Author(s):  
Musselina Oktavanya Widiyanto ◽  
Nina Carina
Keyword(s):  
Social Isolation ◽  
Age Groups ◽  
Age Group ◽  
Domino Effect ◽  
Outdoor Activities ◽  
Senior Housing ◽  
Shared Space ◽  
Essential Form ◽  
Architectural Programming ◽  
Space Concept

Dwelling is an essential form of conscious human activity. The form, aesthetics or beauty, and organization of environment that build become part of how a person lives. The concept of dwelling itself closely related to time and space. Therefore, the concept may shift or replaced according to the phenomena that occurred during the period of time. It is the same thing that we feel today in the presence of COVID – 19. Newly promoted health protocols, such as social isolation creates domino effect. Outdoor activities must be carried out in the dwelling, causing the shelter to need a place to accommodate these new needs. This also creates new problems with the existence of various age groups in one family. With the aim of creating a family ecosystem in one dwelling based on issue of social isolation that interferes with how to interact, the Architectural Programming (Cherry, 2009) method are applied and also points from MASS : Designing senior housing for safe interaction (2020). The application of this method produces programs that suit the needs of each age group in a family as well as paying attention to initial issue, in this case social isolation. One for Three: Multigenerational House is a new shared space concept that combines the needs of three generation and attention to safe interaction in social isolation. In addition, One for Three: Multi-generational House retains the value of independence and identity in all group of age.  Keywords : group of age; multigeneration; safe interaction; shared space; social isolationAbstrak Berhuni merupakan salah satu bentuk kegiatan manusia secara sadar yang esensial. Bentuk, estetika, dan organisasi lingkungan binaan semuanya menjadi bagian dari bagaimana seseorang tinggal. Konsep berhuni memiliki kaitan yang erat dengan waktu dan ruang. Oleh karena itu, konsepnya akan tergeser atau digantikan sesuai dengan fenomena yang terjadi pada kurun waktu yang dimaksud. Sama hal nya yang kita rasakan saat ini yaitu adanya COVID – 19. Protokol kesehatan yang baru digalakan seperti sosial isolation dan menimbulkan efek domino. Kegiatan outdoor harus dilakukan di dalam hunian sehingga menyebabkan hunian memerlukan tempat untuk menampung kebutuhan baru tersebut. Hal ini juga menimbulkan masalah baru dengan adanya kelompok usia yang bervariasi pada satu keluarga. Dengan tujuan menciptakan ekosistem keluarga dalam satu hunian berdasarkan isu terhadap social isolation yang mengganggu cara berinteraksi, maka diterapkan metode Architectural Programming (Cherry, 2009) dan poin dari MASS : Designing senior housing for safe interaction (2020). Penerapan metode ini kemudian menghasilkan program yang sesuai dengan kebutuhan setiap kelompok usia dalam suatu keluarga, serta memperhatikan isu awal yaitu social isolation. Satu untuk Tiga : Hunian Multigenerasi merupakan konsep berhuni shared space yang baru dengan menyatukan kebutuhan tiga generasi dan memperhatikan poin safe interaction in social isolation. Selain itu, . Satu untuk Tiga : Hunian Multigenerasi tetap mempertahankan nilai kemandirian dan identitas pada segala usia. 

scholarly journals Affective Robot Story-Telling Human-Robot Interaction: Exploratory Real-Time Emotion Estimation Analysis Using Facial Expressions and Physiological Signals

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 134051-134066 ◽  
Author(s):  
Mikel Val-Calvo ◽  
Jose Ramon Alvarez-Sanchez ◽  
Jose Manuel Ferrandez-Vicente ◽  
Eduardo Fernandez
Keyword(s):  
Real Time ◽  
Facial Expressions ◽  
Human Robot Interaction ◽  
Physiological Signals ◽  
Story Telling ◽  
Robot Interaction ◽  
Emotion Estimation

scholarly journals The semantic connection of time and space in literary text

2019 ◽  
pp. 28-30
Author(s):  
Galina Aleksandrovna Sokolova
Keyword(s):  
Literary Work ◽  
Literary Text ◽  
Time And Space ◽  
Leading Role ◽  
Time Space ◽  
Points Of View ◽  
Space Concept

The article deals with the connection of time and space in literary text. It gives some definitions of the time-space concept, the chronotope; it presents different points of view of Russian linguists about the leading role of the chronotope components; it also lists the main ways of detecting the chronotope in literary work; it defines some features and characteristics of time and space in the chronotope.

Design of Emotion Expressing Behavior Based on LMA for Aerial Robot

2014 ◽  
Vol 494-495 ◽  
pp. 1170-1174
Author(s):  
Qing Ji Gao ◽  
Meng Li ◽  
Dan Dan Hu ◽  
Wei Hao
Keyword(s):  
Movement Analysis ◽  
Humanoid Robots ◽  
Body Language ◽  
Laban Movement Analysis ◽  
Model Based ◽  
Express Emotion ◽  
Aerial Robot ◽  
Behavior Based ◽  
Movement Parameters ◽  
Emotion Space

The non-humanoid robots can express emotion by imitating the humans body language with different paths. The movement parameters effecting the Laban Effort Factors can be got by parameterizing the trajectory with using Laban Movement Analysis (LMA) Theory. Then, the emotion expressing model based on the trajectory of aerial robot is established by mapping the Effort Factors to the PAD emotion space. The simulation demonstrates the validity of the model.

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