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Open Access
Article
Publication date: 29 September 2022

Manju Priya Arthanarisamy Ramaswamy and Suja Palaniswamy

The aim of this study is to investigate subject independent emotion recognition capabilities of EEG and peripheral physiological signals namely: electroocoulogram (EOG)…

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Abstract

Purpose

The aim of this study is to investigate subject independent emotion recognition capabilities of EEG and peripheral physiological signals namely: electroocoulogram (EOG), electromyography (EMG), electrodermal activity (EDA), temperature, plethysmograph and respiration. The experiments are conducted on both modalities independently and in combination. This study arranges the physiological signals in order based on the prediction accuracy obtained on test data using time and frequency domain features.

Design/methodology/approach

DEAP dataset is used in this experiment. Time and frequency domain features of EEG and physiological signals are extracted, followed by correlation-based feature selection. Classifiers namely – Naïve Bayes, logistic regression, linear discriminant analysis, quadratic discriminant analysis, logit boost and stacking are trained on the selected features. Based on the performance of the classifiers on the test set, the best modality for each dimension of emotion is identified.

Findings

 The experimental results with EEG as one modality and all physiological signals as another modality indicate that EEG signals are better at arousal prediction compared to physiological signals by 7.18%, while physiological signals are better at valence prediction compared to EEG signals by 3.51%. The valence prediction accuracy of EOG is superior to zygomaticus electromyography (zEMG) and EDA by 1.75% at the cost of higher number of electrodes. This paper concludes that valence can be measured from the eyes (EOG) while arousal can be measured from the changes in blood volume (plethysmograph). The sorted order of physiological signals based on arousal prediction accuracy is plethysmograph, EOG (hEOG + vEOG), vEOG, hEOG, zEMG, tEMG, temperature, EMG (tEMG + zEMG), respiration, EDA, while based on valence prediction accuracy the sorted order is EOG (hEOG + vEOG), EDA, zEMG, hEOG, respiration, tEMG, vEOG, EMG (tEMG + zEMG), temperature and plethysmograph.

Originality/value

Many of the emotion recognition studies in literature are subject dependent and the limited subject independent emotion recognition studies in the literature report an average of leave one subject out (LOSO) validation result as accuracy. The work reported in this paper sets the baseline for subject independent emotion recognition using DEAP dataset by clearly specifying the subjects used in training and test set. In addition, this work specifies the cut-off score used to classify the scale as low or high in arousal and valence dimensions. Generally, statistical features are used for emotion recognition using physiological signals as a modality, whereas in this work, time and frequency domain features of physiological signals and EEG are used. This paper concludes that valence can be identified from EOG while arousal can be predicted from plethysmograph.

Details

Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

Keywords

Content available
Article
Publication date: 14 October 2021

Wei Zhang, Jiali Weng, Shang Hao, Yuan Xie and Yonggui Li

Fabrics with photothermal conversion functions were developed based on the introduction of shape stable composite phase change materials (CPCMs).

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Abstract

Purpose

Fabrics with photothermal conversion functions were developed based on the introduction of shape stable composite phase change materials (CPCMs).

Design/methodology/approach

Acidified single-walled carbon nanotubes (SWCNTs) were selected as support material to prepare CPCMs with n-octadecane to improve the thermal conductivity and shape stability. The CPCMs were finished onto the surface of cotton fabric through the coating and screen-printing method. The chemical properties of CPCMs were characterized by Fourier transform infrared spectrometer, XRD and differential scanning calorimetry (DSC). The shape stability and thermal conductivity were also evaluated. In addition, the photothermal conversion and temperature-regulating performance of the finished fabrics were analyzed.

Findings

When the addition amount of acidified SWCNTs are 14% to the mass of n-octadecane, the best shape stability of CPCMs is obtained. DSC analysis shows that the latent heat energy storage of CPCMs is as high as 183.1 J/g. The thermal conductivity is increased by 84.4% compared with that of n-octadecane. The temperature-regulating fabrics coated with CPCMs have good photothermal conversion properties.

Research limitations/implications

CPCMs with high latent heat properties are applied to the fabric surface through screen printing technology, which not only gives the fabric the photothermal conversion performance but also reflects the design of personalized patterns.

Practical implications

CPCMs and polydimethylsiloxane (PDMS) are mixed to make printing paste and printed cotton fabric with temperature-regulating functional is developed.

Originality/value

SWCNTs and n-octadecane are composited to prepare CPCMs with excellent thermal properties, which can be mixed with PDMS to make printing paste without adding other pastes. The fabric is screen-printed to obtain a personalized pattern and can be given a thermoregulatory function.

Open Access
Article
Publication date: 27 August 2021

Caroline Emberson, Silvia Maria Pinheiro and Alexander Trautrims

The purpose of this paper is to examine how first-tier suppliers in multi-tier supply chains adapt their vertical and horizontal relationships to reduce the risk of slavery-like…

Abstract

Purpose

The purpose of this paper is to examine how first-tier suppliers in multi-tier supply chains adapt their vertical and horizontal relationships to reduce the risk of slavery-like practices.

Design/methodology/approach

Using Archer’s morphogenetic theory as an analytical lens, this paper presents case analyses adduced from primary and secondary data related to the development of relational anti-slavery supply capabilities in Brazilian–UK beef and timber supply chains.

Findings

Four distinct types of adaptation were found among first-tier suppliers: horizontal systemisation, vertical systemisation, horizontal transformation and vertical differentiation.

Research limitations/implications

This study draws attention to the socially situated nature of corporate action, moving beyond the rationalistic discourse that underpins existing research studies of multi-tier, socially sustainable, supply chain management. Cross-sector comparison highlights sub-country and intra-sectoral differences in both institutional setting and the approaches and outcomes of individual corporate actors’ initiatives. Sustainable supply chain management theorists would do well to seek out those institutional entrepreneurs who actively reshape the institutional conditions within which they find themselves situated.

Practical implications

Practitioners may benefit from adopting a structured approach to the analysis of the necessary or contingent complementarities between their, primarily economic, objectives and the social sustainability goals of other, potential, organizational partners.

Social implications

A range of interventions that may serve to reduce the risk of slavery-like practices in global commodity chains are presented.

Originality/value

This paper presents a novel analysis of qualitative empirical data and extends understanding of the agential role played by first-tier suppliers in global, multi-tier, commodity, supply chains.

Details

Supply Chain Management: An International Journal, vol. 27 no. 4
Type: Research Article
ISSN: 1359-8546

Keywords

Open Access
Article
Publication date: 18 May 2023

Mary Pomaa Agyekum, Selase Adjoa Odopey, Sabina Asiamah, Lucy Wallis, John E.O. Williams and Rachel Locke

The purpose of this study explores the perspective of key informants (educators, preceptors and former students) of the Kintampo Project, on the perceived effectiveness, gains and…

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Abstract

Purpose

The purpose of this study explores the perspective of key informants (educators, preceptors and former students) of the Kintampo Project, on the perceived effectiveness, gains and challenges in delivering this large-scale training innovation in Ghana. The problem of mental health care neglect in Ghana is gradually improving. The Kintampo Project which trained mental health workers in Ghana has played a critical role in increasing access to mental health care.

Design/methodology/approach

This qualitative study explored participants' perspectives on the Kintampo Project in three broad areas: perceived effectiveness, gains and challenges. In all, 17 interviews were conducted with former students, preceptors and educators from the project. The interviews were digitally audio-recorded, transcribed, coded and analysed using deductive and thematic methods.

Findings

The participants perceived the project to have been successful in increasing the number of mental health workers in Ghana. The project provided a route for career progression for those involved. However, the Kintampo Project faced accreditation issues, low recognition, improper integration and remuneration of trained staff in the Ghana Health Service. This study points to the fact that the sustainability of mental health training in Ghana can be obstructed, because of this career path being less attractive. Further research is needed to explore how best to achieve sustainability of similar mental health innovations.

Originality/value

This paper shares the views of participants in the Kintampo Project.

Details

The Journal of Mental Health Training, Education and Practice, vol. 18 no. 4
Type: Research Article
ISSN: 1755-6228

Keywords

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