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Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli

Sanchez-Comas, Andres; Synnes, Kåre; Molina Estren, Diego; Troncoso Palacio, Alexander; Comas Gonzalez, Zhoe (2021-06-19)

The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted ...
Hardware for recognition of human activities: a review of smart home and AAL related technologies

Sanchez-Comas, Andres; Synnes, Kåre; Hallberg, Josef (Corporación Universidad de la Costa, 2018)

Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and smart homes (SH) has become a subject of great interest. Promising a better quality of life, AR applied in contexts such as health, ...
Improving the quality of user generated data sets for activity recognition

Nugent, Chris D.; Synnott, Jonathan; Gabrielli, Celeste; Zhang, Shuai; Espinilla, Macarena; Calzada, Alberto; Lundström, Jens; Cleland, Ian; Synnes, Kåre; Hallberg, Josef; Spinsante, Susanna; Ortiz Barrios, Miguel Angel (2016)

It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this ...
Technology Contribution to Improve Autistic Children Life Quality

Comas-González, Zhoe; Sánchez-Comas, Andrés; De-La-Hoz-Franco, Emiro; Synnes, Kåre; Sánchez, Joaquín F.; Collazos-Morales, Carlos (Corporación Universidad de la Costa, 2020)

To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS ...

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Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli
...
Sanchez-Comas, Andres | 2021-06-19

The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.

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Hardware for recognition of human activities: a review of smart home and AAL related technologies
...
Sanchez-Comas, Andres | 2018

Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and smart homes (SH) has become a subject of great interest. Promising a better quality of life, AR applied in contexts such as health, security, and energy consumption can lead to solutions capable of reaching even the people most in need. This study was strongly motivated because levels of development, deployment, and technology of AR solutions transferred to society and industry are based on software development, but also depend on the hardware devices used. The current paper identifies contributions to hardware uses for activity recognition through a scientific literature review in the Web of Science (WoS) database. This work found four dominant groups of technologies used for AR in SH and AAL—smartphones, wearables, video, and electronic components—and two emerging technologies: Wi-Fi and assistive robots. Many of these technologies overlap across many research works. Through bibliometric networks analysis, the present review identified some gaps and new potential combinations of technologies for advances in this emerging worldwide field and their uses. The review also relates the use of these six technologies in health conditions, health care, emotion recognition, occupancy, mobility, posture recognition, localization, fall detection, and generic activity recognition applications. The above can serve as a road map that allows readers to execute approachable projects and deploy applications in different socioeconomic contexts, and the possibility to establish networks with the community involved in this topic. This analysis shows that the research field in activity recognition accepts that specific goals cannot be achieved using one single hardware technology, but can be using joint solutions, this paper shows how such technology works in this regard.

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Improving the quality of user generated data sets for activity recognition
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Nugent, Chris D. | 2016

It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collected using a smart environment simulation tool. A noticeable difference was found in the first 1–2 cycles of users generating data. Further analysis demonstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.

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Technology Contribution to Improve Autistic Children Life Quality
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Comas-González, Zhoe | 2020

To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS and Scopus databases were included, adjusted to a timeline between 2016 and 2020 and focused on mobile technology, interventions, improvement of social behavior and communication and autism, aimed to describe the most used mechanism to improve autistic life style. Thirty two (32) papers were included in the review. We obtained 14 papers on the Scopus database and 18 on the WOS database. The majority of studies evidenced the use of virtual reality, mobile devices, video modelling and robots as the most common applications for autism therapies. Technology has caused an improvement in autistic children life quality. The development of mobile applications, virtual reality applications and robots have showed a positive impact reflected in the performance of daily activities and a better understanding of how they feel, how to behave, how to express themselves and interact with others. Technology gives the opportunity to monitor children status; and offers adaptability, safety, and accuracy of the information.

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Browsing by Author "Synnes, Kåre"

Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli ﻿

Hardware for recognition of human activities: a review of smart home and AAL related technologies ﻿

Improving the quality of user generated data sets for activity recognition ﻿

Technology Contribution to Improve Autistic Children Life Quality ﻿

Envíos recientes

Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli

Hardware for recognition of human activities: a review of smart home and AAL related technologies

Improving the quality of user generated data sets for activity recognition

Technology Contribution to Improve Autistic Children Life Quality

Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli

Hardware for recognition of human activities: a review of smart home and AAL related technologies

Improving the quality of user generated data sets for activity recognition

Technology Contribution to Improve Autistic Children Life Quality