Search results for "computer interface"
showing 10 items of 189 documents
Human-to-human interfaces: emerging trends and challenges
2011
We present a new research domain, human-to-human interaction (HHI) that describes how today's human interaction is largely indirect and mediated by a wide variety of technologies and devices. We show how this new and exciting field of design originates from the convergence of a few well-established research areas, such as traditional graphical user interfaces (GUIs), tangible user interfaces (TUIs), touchless gesture user interfaces (TGUIs), voice user interfaces (VUIs), and brain computer interfaces (BCIs). We analyse and describe current research in those areas and offer a first-hand view and presentation of its salient aspects for the human-to human interaction domain.
P300-based brain computer interface experimental setup
2009
A Brain-Computer interface (BCI) is a communication system that enables the generation of a control signal from brain signals such as sensorymotor rhythms and evoked potentials; therefore, it constitutes a novel communication option for people with severe motor disabilities (such as Amyotrophic Lateral Sclerosis patients). This paper presents the development of a P300-based BCI. This prototype uses a homemade six-channel electroencephalograph for the acquisition of the signals, and a visual stimulation matrix; since this matrix contains letters of the alphabet as well as images associated to them, it permits word-writing and the elaboration of messages with the images. To process the signal…
INVESTIGATING PERCEPTUAL AND BIOLOGICAL FEEDBACKS IN HUMAN ROBOT INTERACTION
The Human Robot Interaction (HRI) is a new discipline that has attracted more attention in the last years due to the increasing presence of robots in people’s everyday life. It is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. Interaction, by definition, requires communication between robots and humans. A social robot is an autonomous or semi-autonomous robot capable of interacting and communicating with humans or other autonomous physical agents following social behaviours and rules related to its specific role. In order to interact effectively with the human being, a robot must be able to decode the complex system of human…
Sosiaalialan asiakastietojärjestelmissä paljon parannettavaa: käyttäjäkokemukset 2019
2020
Sosiaali- ja terveydenhuollon digitalisaatiolle on asetettu paljon odotuksia niin palveluiden laadun, saavutettavuuden kuin tehokkuuden osalta. Asiakas- ja potilastietojärjestelmiltä odotetaan paljon tavoitteiden saavuttamiseksi. Asiakastietojärjestelmät ovat laajasti käytössä sosiaalialalla, mutta niiden käyttöä työvälineenä ja niiden avulla saavutettuja hyötyjä on tutkittu ammattilaisten näkökulmasta vain vähän. Keväällä 2019 kartoitettiin ensimmäistä kertaa valtakunnallisesti sosiaalialan ammattilaisten käyttäjäkokemuksia asiakastietojärjestelmistä. Tässä artikkelissa kuvataan kyselytutkimuksen toteutus ja tulokset eniten käytettyjen tuotemerkkien osalta. Tutkimus toimii pilottina vuonna…
Brain Controlled Architecture for Human-Human Interaction Mediated by a Humanoid Robot
2017
This paper presents an Assistive social robots architecture designed for social interaction with humans, mediated by a humanoid robot. The architecture has been designed for being used by people with severe paralysis and the architecture has been tested by a user affected by amyotrophic lateral sclerosis (ALS) in a locked-in state. The system allows the patient to communicate with the stakeholders using a Brain Controlled Interface, based on Evoked Response Potentials (ERP), to express needing, feelings or writing phases. Stakeholders visualize messages sent by the patient on a GUI and use a tele operated humanoid robot as an avatar of them to extend their physical presence to interact with…
MultiSlice human organ extraction based on GVF
2008
Segmentation techniques based on active contours algorithm are widely used in medical imaging. Unfortunately, they require a lot of parameters to be used and this can rep- resent an issue for those physicians with not much informatics skills. This paper proposes a software tool which allows to segment multiple slice can differ organ extraction setting a small number of parameters. Moreover, the tool offers the functionality to perform a multiple segmentation the same time, so that an entire volume composed by hundreds slices can be segmented.
Adoption of Open Source Software and Software-as-a- Service Models in the Telecommunication Industry
2011
A case research is carried out on adoption of open source software (OSS) and software-as-a-service (SaaS) in the telecommunication industry. The study was conducted to examine the types of software deployed as OSS and SaaS and the conditions of adopting OSS and SaaS. Findings of the case study indicate that industry-specific software is not developed as OSS or deployed in SaaS mode. Based on the findings, we also arrive at conclusion: Adoption is hindered by specificity of processes and technology interfaces.
Development of the BCI Device Controlling C++ Software, Based on Existing Open Source Projects
2021
The possibility of using the BCI open source code for building BCI controlled device, based on small AVR or ARM microcontrollers was considered. Some techniques to extract code snippets from other BCI projects were presented in the case of OpenViBE as the code donor. Problem with obtaining driver source codes for factory BCI devices has been pointed out.
Simplified spiking neural network architecture and STDP learning algorithm applied to image classification
2015
Spiking neural networks (SNN) have gained popularity in embedded applications such as robotics and computer vision. The main advantages of SNN are the temporal plasticity, ease of use in neural interface circuits and reduced computation complexity. SNN have been successfully used for image classification. They provide a model for the mammalian visual cortex, image segmentation and pattern recognition. Different spiking neuron mathematical models exist, but their computational complexity makes them ill-suited for hardware implementation. In this paper, a novel, simplified and computationally efficient model of spike response model (SRM) neuron with spike-time dependent plasticity (STDP) lear…
Galaxy LIMS for next-generation sequencing.
2013
Abstract Summary: We have developed a laboratory information management system (LIMS) for a next-generation sequencing (NGS) laboratory within the existing Galaxy platform. The system provides lab technicians standard and customizable sample information forms, barcoded submission forms, tracking of input sample quality, multiplex-capable automatic flow cell design and automatically generated sample sheets to aid physical flow cell preparation. In addition, the platform provides the researcher with a user-friendly interface to create a request, submit accompanying samples, upload sample quality measurements and access to the sequencing results. As the LIMS is within the Galaxy platform, the …