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Software switches: novel hands-free interaction techniques for quadriplegics based on respiration–machine interaction
The majority of interaction techniques for individuals with disabilities to control a computer require an additional dedicated hardware like switches...
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Brain-Controlled Cinema
This chapter explores the space of Brain-Computer Interaction as a tool to enhance storytelling within cinema, as a means to overcome some of the...
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Fabric Robotics - Lessons Learned Introducing Soft Robotics in a Computational Thinking Course for Children
In this paper we present findings from the current and last year’s season of a CT course: we investigated how soft materials enriched learning of CT...
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Interactive Arts and Disability: A Conceptual Model Toward Understanding Participation
In this paper we explore how social aspects of group interaction and the physical affordances of interactive technology may be exploited to enhance...
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Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence
The capacity to assess and manage mental workload is becoming more and more relevant in the current work environments as it helps to prevent work...
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Big tech and societal sustainability: an ethical framework
Sustainability is typically viewed as consisting of three forces, economic, social, and ecological, in tension with one another. In this paper, we...
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EEG-Based Workload Index as a Taxonomic Tool to Evaluate the Similarity of Different Robot-Assisted Surgery Systems
In operational fields, there is a growing use of simulators during training protocols because of their versatility, the possibility of limiting...
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Introduction to Iris Presentation Attack Detection
Iris recognition technology has attracted an increasing interest since more than two decades in which we have witnessed a migration from laboratories...
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Incremental Training of Neural Network for Motor Tasks Recognition Based on Brain-Computer Interface
Brain-computer interfaces (BCI) based on motor imagery tasks (MI) have been established as a promising solution for restoring communication and...
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Automatic Classification of Eye Blinks and Eye Movements for an Input Interface Using Eye Motion
The objective of this study is to develop a multi gesture input interface using several eye motions simultaneously. In this study, we proposed a new...
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Going deeper in hidden sadness recognition using spontaneous micro expressions database
Recognition of facial micro-expressions (MEs), which indicates conscious or unconscious suppressing of true emotions, is still a challenging task in...
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Efficient eye ty** with 9-direction gaze estimation
Vision based text entry systems aim to help disabled people achieve text communication using eye movement. Most previous methods have employed an...
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On the performance of surface electromyography-based onset detection methods with real data in assistive technologies
Assistive Technologies are used to increase the autonomy of people with motor disabilities by enhancing their functional capabilities. Surface...
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An Empirical Study of Test-Driven Development vs. Test-Last Development Using Eye Tracking
Test-Driven Development (TDD) is an iterative software development technique in which unit tests are defined before production code, while Test-Last...
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Mental War: An Attention-Based Single/Multiplayer Brain-Computer Interface Game
Brain-Computer Interfaces (BCIs) are a novel kind of user interface that allows the recognition of specific user intentions by reading the user’s...
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Non-contact measurement of eyeblink by using Doppler sensor
In this report, we introduce an experimental method for eyeblink measurement by utilizing Doppler effect phenomena. In the cognitive science...
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A Wearable Multisensory, Multiagent Approach for Detection and Mitigation of Acute Cognitive Strain
While operators performing tasks with high workload can increase task performance in response to limited increases in cognitive stress, chronic or...
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The GazePlay Project: Open and Free Eye-Trackers Games and a Community for People with Multiple Disabilities
In order to develop and enhance an augmentative and alternative communication (AAC), gaze is often considered as one of the most natural way and one...
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A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals
This study aims to compare classical and Deep Neural Networks (DNN) algorithms for the recognition of Motor Imagery (MI) tasks from...
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Artificial Neural Networks and Common Spatial Patterns for the Recognition of Motor Information from EEG Signals
This paper proposes the use of two models of neural networks (Multi Layer Perceptron and Dendrite Morphological Neural Network) for the recognition...