329 research outputs found
Auxilio: A Sensor-Based Wireless Head-Mounted Mouse for People with Upper Limb Disability
Upper limb disability may be caused either due to accidents, neurological
disorders, or even birth defects, imposing limitations and restrictions on the
interaction with a computer for the concerned individuals using a generic
optical mouse. Our work proposes the design and development of a working
prototype of a sensor-based wireless head-mounted Assistive Mouse Controller
(AMC), Auxilio, facilitating interaction with a computer for people with upper
limb disability. Combining commercially available, low-cost motion and infrared
sensors, Auxilio solely utilizes head and cheek movements for mouse control.
Its performance has been juxtaposed with that of a generic optical mouse in
different pointing tasks as well as in typing tasks, using a virtual keyboard.
Furthermore, our work also analyzes the usability of Auxilio, featuring the
System Usability Scale. The results of different experiments reveal the
practicality and effectiveness of Auxilio as a head-mounted AMC for empowering
the upper limb disabled community.Comment: 28 pages, 9 figures, 5 table
Dwell-free input methods for people with motor impairments
Millions of individuals affected by disorders or injuries that cause severe motor impairments have difficulty performing compound manipulations using traditional input devices. This thesis first explores how effective various assistive technologies are for people with motor impairments. The following questions are studied: (1) What activities are performed? (2) What tools are used to support these activities? (3) What are the advantages and limitations of these tools? (4) How do users learn about and choose assistive technologies? (5) Why do users adopt or abandon certain tools? A qualitative study of fifteen people with motor impairments indicates that users have strong needs for efficient text entry and communication tools that are not met by existing technologies.
To address these needs, this thesis proposes three dwell-free input methods, designed to improve the efficacy of target selection and text entry based on eye-tracking and head-tracking systems. They yield: (1) the Target Reverse Crossing selection mechanism, (2) the EyeSwipe eye-typing interface, and (3) the HGaze Typing interface. With Target Reverse Crossing, a user moves the cursor into a target and reverses over a goal to select it. This mechanism is significantly more efficient than dwell-time selection. Target Reverse Crossing is then adapted in EyeSwipe to delineate the start and end of a word that is eye-typed with a gaze path connecting the intermediate characters (as with traditional gesture typing). When compared with a dwell-based virtual keyboard, EyeSwipe affords higher text entry rates and a more comfortable interaction. Finally, HGaze Typing adds head gestures to gaze-path-based text entry to enable simple and explicit command activations. Results from a user study demonstrate that HGaze Typing has better performance and user satisfaction than a dwell-time method
Design of a portable device: Toward assisting in tongue-strengthening exercises and dysphagia management
A Tongue-Machine Interaction System (TMIS) can serve as a valuable tool for tongue strengthening training which could contribute to rehabilitation of patients with dysphagia and eventually help in mending the oropharyngeal pattern of swallowing. The TMIS can also facilitate research into dysphagia, as tongue positioning and Range-of-Motion are commonly used outcome parameters in dysphagia research. Using a TMIS (for interacting with computers, a variety of communication devices and mobility support systems) would be tantamount to performing tongue muscle strengthening exercises. Such exercises can help patients with dysphagia in improving strength of the oral musculature. TMIS’s features can also provide valuable biofeedback during the tongue muscle exercises. The adoption of TMIS’s in clinical practice has been limited in the past since many of them require patients to have a palatal plate or some component of interactivity mounted in the mouth and/or on the tongue. This paper reports the design and implementation of a portable, low-cost, minimally invasive and, easy to learn TMIS which can be utilized for training and strengthening of tongue musculature. The selection and incorporation of design features important to the target patient demography are also discussed
Methods and metrics for the improvement of the interaction and the rehabilitation of cerebral palsy through inertial technology
Cerebral palsy (CP) is one of the most limiting disabilities in childhood, with 2.2 cases
per 1000 1-year survivors. It is a disorder of movement and posture due to a defect or
lesion of the immature brain during the pregnancy or the birth. These motor limitations
appear frequently in combination with sensory and cognitive alterations generally result
in great difficulties for some people with CP to manipulate objects, communicate and
interact with their environment, as well as limiting their mobility.
Over the last decades, instruments such as personal computers have become a popular
tool to overcome some of the motor limitations and promote neural plasticity, especially
during childhood. According to some estimations, 65% of youths with CP that present
severely limited manipulation skills cannot use standard mice nor keyboards. Unfortunately,
even when people with CP use assistive technology for computer access, they face
barriers that lead to the use of typical mice, track balls or touch screens for practical
reasons. Nevertheless, with the proper customization, novel developments of alternative
input devices such as head mice or eye trackers can be a valuable solution for these
individuals.
This thesis presents a collection of novel mapping functions and facilitation algorithms
that were proposed and designed to ease the act of pointing to graphical elements on
the screen—the most elemental task in human-computer interaction—to individuals with
CP. These developments were implemented to be used with any head mouse, although
they were all tested with the ENLAZA, an inertial interface. The development of such
techniques required the following approach:
Developing a methodology to evaluate the performance of individuals with CP in
pointing tasks, which are usually described as two sequential subtasks: navigation
and targeting.
Identifying the main motor abnormalities that are present in individuals with CP
as well as assessing the compliance of these people with standard motor behaviour
models such as Fitts’ law.
Designing and validating three novel pointing facilitation techniques to be implemented
in a head mouse. They were conceived for users with CP and muscle
weakness that have great difficulties to maintain their heads in a stable position.
The first two algorithms consist in two novel mapping functions that aim to facilitate
the navigation phase, whereas the third technique is based in gravity wells
and was specially developed to facilitate the selection of elements in the screen.
In parallel with the development of the facilitation techniques for the interaction
process, we evaluated the feasibility of use inertial technology for the control of
serious videogames as a complement to traditional rehabilitation therapies of posture
and balance. The experimental validation here presented confirms that this
concept could be implemented in clinical practice with good results.
In summary, the works here presented prove the suitability of using inertial technology
for the development of an alternative pointing device—and pointing algorithms—based
on movements of the head for individuals with CP and severely limited manipulation
skills and new rehabilitation therapies for the improvement of posture and balance. All
the contributions were validated in collaboration with several centres specialized in CP
and similar disorders and users with disability recruited in those centres.La parálisis cerebral (PC) es una de las deficiencias más limitantes de la infancia, con
un incidencia de 2.2 casos por cada 1000 supervivientes tras un año de vida. La PC
se manifiesta principalmente como una alteración del movimiento y la postura y es
consecuencia de un defecto o lesión en el cerebro inmaduro durante el embarazo o el
parto. Las limitaciones motrices suelen aparecer además en compañía de alteraciones
sensoriales y cognitivas, lo que provoca por lo general grandes dificultades de movilidad,
de manipulación, de relación y de interacción con el entorno.
En las últimas décadas, el ordenador personal se ha extendido como herramienta para la
compensación de parte de estas limitaciones motoras y como medio de promoción de la
neuroplasticidad, especialmente durante la infancia. Desafortunadamente, cerca de un
65% de las personas PC que son diagnosticadas con limitaciones severas de manipulación
son incapaces de utilizar ratones o teclados convencionales. A veces, ni siquiera la
tecnología asistencial les resulta de utilidad ya que se encuentran con impedimentos que
hacen que opten por usar dispositivos tradicionales aun sin dominar su manejo. Para
estas personas, los desarrollos recientes de ratones operados a través de movimientos
residuales con la cabeza o la mirada podrían ser una solución válida, siempre y cuando
se personalice su manejo.
Esta tesis presenta un conjunto de novedosas funciones de mapeo y algoritmos de facilitaci
ón que se han propuesto y diseñado con el ánimo de ayudar a personas con PC
en las tareas de apuntamiento de objetos en la pantalla —las más elementales dentro
de la interacción con el ordenador. Aunque todas las contribuciones se evaluaron con
la interfaz inercial ENLAZA, desarrollada igualmente en nuestro grupo, podrían ser
aplicadas a cualquier ratón basado en movimientos de cabeza. El desarrollo de los
trabajos se resume en las siguientes tareas abordadas:
Desarrollo de una metodología para la evaluación de la habilidad de usuarios con
PC en tareas de apuntamiento, que se contemplan como el encadenamiento de dos
sub-tareas: navegación (alcance) y selección (clic).
Identificación de los tipos de alteraciones motrices presentes en individuos con PC
y el grado de ajuste de éstos a modelos estándares de comportamiento motriz como
puede ser la ley de Fitts.
Propuesta y validación de tres técnicas de facilitación del alcance para ser implementadas
en un ratón basado en movimientos de cabeza. La facilitación se ha centrado
en personas que presentan debilidad muscular y dificultades para mantener
la posición de la cabeza. Mientras que los dos primeros algoritmos se centraron
en facilitar la navegación, el tercero tuvo como objetivo ayudar en la selección a
través de una técnica basada en pozos gravitatorios de proximidad.
En paralelo al desarrollo de estos algoritmos de facilitación de la interacción, evaluamos
la posibilidad de utilizar tecnología inercial para el control de videojuegos en
rehabilitación. Nuestra validación experimental demostró que este concepto puede
implementarse en la práctica clínica como complemento a terapias tradicionales de
rehabilitación de la postura y el equilibrio.
Como conclusión, los trabajos desarrollados en esta tesis vienen a constatar la idoneidad
de utilizar sensores inerciales para el desarrollo de interfaces de accesso alternativo al
ordenador basados en movimientos residuales de la cabeza para personas con limitaciones
severas de manipulación. Esta solución se complementa con algoritmos de facilitación
del alcance. Por otra parte, estas soluciones tecnológicas de interfaz con el ordenador
representan igualmente un complemento de terapias tradicionales de rehabilitación de
la postura y el equilibrio. Todas las contribuciones se validaron en colaboración con
una serie de centros especializados en parálisis cerebral y trastornos afines contando con
usuarios con discapacidad reclutados en dichos centros.This thesis was completed in the Group of Neural and Cognitive Engineering (gNEC) of the CAR UPM-CSIC with the financial support of the FP7 Framework EU Research Project ABC (EU-2012-287774), the IVANPACE Project (funded by Obra Social de Caja Cantabria, 2012-2013), and the Spanish Ministry of Economy and Competitiveness in the framework of two projects: the Interplay Project (RTC-2014-1812-1) and most
recently the InterAAC Project (RTC-2015-4327-1)Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Juan Manuel Belda Lois.- Secretario: María Dolores Blanco Rojas.- Vocal: Luis Fernando Sánchez Sante
Emerging ExG-based NUI Inputs in Extended Realities : A Bottom-up Survey
Incremental and quantitative improvements of two-way interactions with extended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduceto the areaof XR.Peer reviewe
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