474 research outputs found
A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset
This paper aims to determine which is the best human action recognition
method based on features extracted from RGB-D devices, such as the Microsoft
Kinect. A review of all the papers that make reference to MSR Action3D, the
most used dataset that includes depth information acquired from a RGB-D device,
has been performed. We found that the validation method used by each work
differs from the others. So, a direct comparison among works cannot be made.
However, almost all the works present their results comparing them without
taking into account this issue. Therefore, we present different rankings
according to the methodology used for the validation in orden to clarify the
existing confusion.Comment: 16 pages and 7 table
A review of computer vision-based approaches for physical rehabilitation and assessment
The computer vision community has extensively researched the area of human motion analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture recognition and so on. However for many applications, like monitoring of functional rehabilitation of patients with musculo skeletal or physical impairments, the requirement is to comparatively evaluate human motion. In this survey, we capture important literature on vision-based monitoring and physical rehabilitation that focuses on comparative evaluation of human motion during the past two decades and discuss the state of current research in this area. Unlike other reviews in this area, which are written from a clinical objective, this article presents research in this area from a computer vision application perspective. We propose our own taxonomy of computer vision-based rehabilitation and assessment research which are further divided into sub-categories to capture novelties of each research. The review discusses the challenges of this domain due to the wide ranging human motion abnormalities and difficulty in automatically assessing those abnormalities. Finally, suggestions on the future direction of research are offered
Robotic and Sensor Technologies for Mobility in Older People
Maintaining independent mobility is fundamental to independent living and to the quality of life of older people. Robotic and sensor technologies may offer a lot of potential and can make a significant difference in the lives of older people and to their primary caregivers. The aim of this study was to provide a presentation of the methods that are used up till now for analysis and evaluation of human mobility utilizing sensor technologies and to give the state of the art in robotic platforms for supporting older people with mobility limitations. The literature was reviewed and systematic reviews of cohort studies and other authoritative reports were identified. The selection criteria included (1) patients with age â\u89¥60 years; (2) patients with unstable gait, with or without recurrent falls; (3) patients with slow movements, short strides, and little trunk movement; (4) sensor technologies that are currently used for mobility evaluation; and (5) robotic technologies that can serve as a supporting companion for older people with mobility limitations. One hundred eighty-one studies published up until February 2017 were identified, of which 36 were included. Two categories of research were identified from the review regarding the robot and sensor technologies: (1) sensor technologies for mobility analysis and (2) robots for supporting older people with mobility limitations. Potential for robotic and sensor technologies can be taken advantage of for evaluation and support at home for elder persons with mobility limitations in an automated way without the need of the physical presence of any medical personnel, reducing the stress of caregivers
Visual and human-interpretable feedback for assisting physical activity
Physical activity is essential for stroke survivors for recovering some autonomy in daily life activities. Post-stroke patients are initially subject to physical therapy under the supervision of a health professional, but due to economical aspects, home based rehabilitation is eventually suggested. In order to support the physical activity of stroke patients at home, this paper presents a system for guiding the user in how to properly perform certain actions and movements. This is achieved by presenting feedback in form of visual information and human-interpretable messages. The core of the proposed approach is the analysis of the motion required for aligning body-parts with respect to a template skeleton pose, and how this information can be presented to the user in form of simple recommendations. Experimental results in three datasets show the potential of the proposed framework
Non-linear actuators and simulation tools for rehabilitation devices
Mención Internacional en el título de doctorRehabilitation robotics is a field of research that investigates the applications of
robotics in motor function therapy for recovering the motor control and motor capability.
In general, this type of rehabilitation has been found effective in therapy for
persons suffering motor disorders, especially due to stroke or spinal cord injuries. This
type of devices generally are well tolerated by the patients also being a motivation in
rehabilitation therapy. In the last years the rehabilitation robotics has become more
popular, capturing the attention at various research centers. They focused on the development
more effective devices in rehabilitation therapy, with a higher acceptance
factor of patients tacking into account: the financial cost, weight and comfort of the
device.
Among the rehabilitation devices, an important category is represented by the
rehabilitation exoskeletons, which in addition to the human skeletons help to protect
and support the external human body. This became more popular between the
rehabilitation devices due to the easily adapting with the dynamics of human body,
possibility to use them such as wearable devices and low weight and dimensions which
permit easy transportation.
Nowadays, in the development of any robotic device the simulation tools play an
important role due to their capacity to analyse the expected performance of the system
designed prior to manufacture. In the development of the rehabilitation devices,
the biomechanical software which is capable to simulate the behaviour interaction
between the human body and the robotics devices, play an important role. This
helps to choose suitable actuators for the rehabilitation device, to evaluate possible
mechanical designs, and to analyse the necessary controls algorithms before being
tested in real systems.
This thesis presents a research proposing an alternative solution for the current
systems of actuation on the exoskeletons for robotic rehabilitation. The proposed
solution, has a direct impact, improving issues like device weight, noise, fabrication
costs, size an patient comfort. In order to reach the desired results, a biomechanical software based on Biomechanics of Bodies (BoB) simulator where the behaviour of
the human body and the rehabilitation device with his actuators can be analysed,
was developed.
In the context of the main objective of this research, a series of actuators have
been analysed, including solutions between the non-linear actuation systems. Between
these systems, two solutions have been analysed in detail: ultrasonic motors
and Shape Memory Alloy material. Due to the force - weight characteristics of each
device (in simulation with the human body), the Shape Memory Alloy material was
chosen as principal actuator candidate for rehabilitation devices.
The proposed control algorithm for the actuators based on Shape Memory Alloy,
was tested over various configurations of actuators design and analysed in terms of energy
eficiency, cooling deformation and movement. For the bioinspirated movements,
such as the muscular group's biceps-triceps, a control algorithm capable to control
two Shape Memory Alloy based actuators in antagonistic movement, has been developed.
A segmented exoskeleton based on Shape Memory Alloy actuators for the upper
limb evaluation and rehabilitation therapy was proposed to demosntrate the eligibility
of the actuation system. This is divided in individual rehabilitation devices for
the shoulder, elbow and wrist. The results of this research was tested and validated
in the real elbow exoskeleton with two degrees of freedom developed during this thesis.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Eduardo Rocón de Lima.- Secretario: Concepción Alicia Monje Micharet.- Vocal: Martin Stoele
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