Institutions
|
About Us
|
Help
|
Gaeilge
0
1000
Home
Browse
Advanced Search
Search History
Marked List
Statistics
A
A
A
Author(s)
Institution
Publication types
Funder
Year
Limited By:
Author = Chatzitofis, Anargyros;
9 items found
Sort by
Title
Author
Item type
Date
Institution
Peer review status
Language
Order
Ascending
Descending
25
50
100
per page
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Displaying Results 1 - 9 of 9 on page 1 of 1
Marked
Mark
A Demonstration of the PATHway System for Technology-enabled Exercise-based Cardiac Rehabilitation
(2016)
Moran, Kieran; Wei, Haolin; Monaghan, David; Woods, Catherine; O'Connor, Noel E.; ...
A Demonstration of the PATHway System for Technology-enabled Exercise-based Cardiac Rehabilitation
(2016)
Moran, Kieran; Wei, Haolin; Monaghan, David; Woods, Catherine; O'Connor, Noel E.; Zarpalas, Dimitrios; Chatzitofis, Anargyros; Daras, Petros; Piesk, Jens; Pomazanskyi, Andrew
Abstract:
We described an invited demonstration to MMHealth’16 of a platform for technology-enabled exercise-based Cardiac Rehabilitation (CR). The demo focuses on one technical aspect of a much broader lifestyle intervention program i.e. realtime estimation of a user’s adherence to an exercise programm
http://doras.dcu.ie/21346/
Marked
Mark
A multi-modal 3D capturing platform for learning and preservation of traditional sports and games
(2015)
Destelle, Francois; Ahmadi, Amin; Moran, Kieran; O'Connor, Noel E.; Zioulis, Nikol...
A multi-modal 3D capturing platform for learning and preservation of traditional sports and games
(2015)
Destelle, Francois; Ahmadi, Amin; Moran, Kieran; O'Connor, Noel E.; Zioulis, Nikolaos; Chatzitofis, Anargyros; Petros, Daras; Zarpalas, Dimitrios; Unzueta, Luis; Rodriguez, Mikel; Goenetxea, Jon; Linaza, Maria Teresa; Magnenat Thalmann, Nadia; Tisserand, Yvain
Abstract:
We present a demonstration of a multi-modal 3D captur- ing platform coupled to a motion comparison system. This work is focused on the preservation of Traditional Sports and Games, namely the Gaelic sports from Ireland and Basque sports from France and Spain. Users can learn, compare and compete in the performance of sporting gestures and compare themselves to real athletes. Our online gesture database provides a way to preserve and display a wide range of sporting gestures. The capturing devices utilised are Kinect 2 sensors and wearable inertial sensors, where the number required varies based on the requested scenario. The fusion of these two capture modalities, coupled to our inverse kinematic algorithm, allow us to synthesize a fluid and reliable 3D model of the user gestures over time. Our novel comparison algorithms provide the user with a per- formance score and a set of comparison curves (i.e. joint angles and angular velocities), providing a precise and valu- able feedback ...
http://doras.dcu.ie/21154/
Marked
Mark
A technology platform for enabling behavioural change as a “PATHway” towards better self-management of CVD
(2016)
Moran, Kieran; Wei, Haolin; Monaghan, David; Woods, Catherine; O'Connor, Noel E.; ...
A technology platform for enabling behavioural change as a “PATHway” towards better self-management of CVD
(2016)
Moran, Kieran; Wei, Haolin; Monaghan, David; Woods, Catherine; O'Connor, Noel E.; Zarpalas, Dimitrios; Chatzitofis, Anargyros; Daras, Petros; Piesk, Jens; Pomazanskyi, Andrew
Abstract:
We describe a technology platform developed as part of a novel approach to technology-enabled exercise-based Cardiac Rehabilitation (CR), termed PATHway. We explain the overall concept and explain how technology can facilitate remote participation and better adherence to communitybased long-term Phase III CR. The demo will showcase the user experience of interacting with the PATHway system, including navigation and manual data entry, whilst also demonstrating real-time sensing and analysis of exercise movements and automatic adaptation of exercise based on physiological response.
http://doras.dcu.ie/21345/
Marked
Mark
Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease
(2018)
Triantafyllidis, Andreas; Filos, Dimitris; Buys, Roselien; Claes, Jomme; Cornelissen, V...
Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease
(2018)
Triantafyllidis, Andreas; Filos, Dimitris; Buys, Roselien; Claes, Jomme; Cornelissen, Véronique; Kouidi, Evangelia; Chatzitofis, Anargyros; Zarpalas, Dimitris; Daras, Petros; Walsh, Deirdre; Woods, Catherine; Moran, Kieran; Maglaveras, Nicos; Chouvarda, Ioanna
Abstract:
Background: Exercise-based rehabilitation plays a key role in improving the health and quality of life of patients with Cardiovascular Disease (CVD). Home-based computer-assisted rehabilitation programs have the potential to facilitate and support physical activity interventions and improve health outcomes. Objectives: We present the development and evaluation of a computerized Decision Support System (DSS) for unsupervised exercise rehabilitation at home, aiming to show the feasibility and potential of such systems toward maximizing the benefits of rehabilitation programs. Methods: The development of the DSS was based on rules encapsulating the logic according to which an exercise program can be executed beneficially according to international guidelines and expert knowledge. The DSS considered data from a prescribed exercise program, heart rate from a wristband device, and motion accuracy from a depth camera, and subsequently generated personalized, performance-driven adaptations ...
http://doras.dcu.ie/22365/
Marked
Mark
Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease
(2018)
Triantafyllidis, Andreas; Filos, Dimitris; Buys, Roselien; Claes, Jomme; Cornelissen, V...
Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease
(2018)
Triantafyllidis, Andreas; Filos, Dimitris; Buys, Roselien; Claes, Jomme; Cornelissen, Veronique A.; Kouidi, Evangelia; Chatzitofis, Anargyros; Zarpalas, Dimitris; Daras, Petros; Walsh, Deirdre M.J.; Woods, Catherine B.; Moran, Kieran A.; Maglaveras, Nicos; Chouvarda, Ioanna
Abstract:
Background: Exercise-based rehabilitation plays a key role in improving the health and quality of life of patients with Cardiovascular Disease (CVD). Home-based computer-assisted rehabilitation programs have the potential to facilitate and support physical activity interventions and improve health outcomes. Objectives: We present the development and evaluation of a computerized Decision Support System (DSS) for unsupervised exercise rehabilitation at home, aiming to show the feasibility and potential of such systems toward maximizing the benefits of rehabilitation programs. Methods: The development of the DSS was based on rules encapsulating the logic according to which an exercise program can be executed beneficially according to international guidelines and expert knowledge. The DSS considered data from a prescribed exercise program, heart rate from a wristband device, and motion accuracy from a depth camera, and subsequently generated personalized, performance-driven adaptations ...
http://hdl.handle.net/10344/8509
Marked
Mark
HeartHealth: A cardiovascular disease home-based rehabilitation system
(2015)
Chatzitofis, Anargyros; Monaghan, David; Mitchell, Edmond; Honohan, Freddie; Zarpalas, ...
HeartHealth: A cardiovascular disease home-based rehabilitation system
(2015)
Chatzitofis, Anargyros; Monaghan, David; Mitchell, Edmond; Honohan, Freddie; Zarpalas, Dimitrios; O'Connor, Noel E.; Daras, Petros
Abstract:
The increasing pressure on medical institutions around the world requires health care professionals to be prescribing homebased exercise rehabilitation treatments to empower patients to self-monitor their rehabilitation journey. Home-based exercise rehabilitation has shown to be highly effective in treating conditions such as Cardiovascular Disease (CVD). However, adherence to home-based exercise rehabilitation remains low. Possible causes for this are that patients are not monitored, they cannot be confident that they are performing the exercise correctly or accurately and they receive no feedback. This paper proposes HeartHealth, a novel patient-centric gamified exercise rehabilitation platform that can help address the issue of adherence to these programmes. The key functionality is the ability to record the patient movements and compare them against the exercises that have been prescribed in order to return feedback to the patient and to the health care professional, as well. In...
http://doras.dcu.ie/20846/
Marked
Mark
HeartHealth: new adventures in serious gaming
(2015)
Monaghan, David; Chatzitofis, Anargyros; Honohan, Freddie; Mitchell, Edmond; Zarpalas, ...
HeartHealth: new adventures in serious gaming
(2015)
Monaghan, David; Chatzitofis, Anargyros; Honohan, Freddie; Mitchell, Edmond; Zarpalas, Dimitrios; Daras, Petros; O'Connor, Noel E.
Abstract:
We present a novel, low-cost, interactive, exercise-based rehabilitation system. Our research involves the investigation and development of patient-centric, sensor-based rehabilitation games and surrounding technologies. HeartHealth is designed to provide a safe, personalised and fun exercise environment that could be deployed in any exercise based rehabilitation program. HeartHealth utilises a cloud-based patient information management system built on FIWARE Generic Enablers,and motion tracking coupled with our sophisticated motion comparison algorithms. Users can record customised exercises through a doctors interface and then play the rehabilitation game where they must perform a sequence of their exercises in order to complete the game scenario. Their exercises are monitored, recorded and compared by our Motion Evaluation software and real-time feedback is than given based on the users performance.
http://doras.dcu.ie/20889/
Marked
Mark
Interactive games for preservation and promotion of sporting movements
(2014)
O'Connor, Noel E.; Tisserand, Yvain; Chatzitofis, Anargyros; Destelle, Francois; G...
Interactive games for preservation and promotion of sporting movements
(2014)
O'Connor, Noel E.; Tisserand, Yvain; Chatzitofis, Anargyros; Destelle, Francois; Goenetxea, Jon; Unzueta, Luis; Zarpalas, Dimitrios; Daras, Petros; Linaza, M.; Moran, Kieran; Magnenat Thalmann, Nadia
Abstract:
In this paper we describe two interactive applications for capturing the motion signatures associated with key skills of traditional sports and games. We first present the case for sport as an important example of intangible cultural heritage. We then explain that sport requires special consideration in terms of digitization for preservation as the key aspects to be digitized are the characteristic movement signatures of such sports. We explain that, given the nature of traditional sporting agencies, this requires low-cost motion capture technology. Furthermore we argue that in order to ensure ongoing preservation, this should be provided via fun interactive gaming scenarios that promote uptake of the sports, particularly among children. We then present two such games that we have developed and illustrate their performance.
http://doras.dcu.ie/20091/
Marked
Mark
Low-cost accurate skeleton tracking based on fusion of kinect and wearable inertial sensors
(2014)
Destelle, Francois; Ahmadi, Amin; O'Connor, Noel E.; Moran, Kieran; Chatzitofis, A...
Low-cost accurate skeleton tracking based on fusion of kinect and wearable inertial sensors
(2014)
Destelle, Francois; Ahmadi, Amin; O'Connor, Noel E.; Moran, Kieran; Chatzitofis, Anargyros; Zarpalas, Dimitrios; Daras, Petros
Abstract:
In this paper, we present a novel multi-sensor fusion method to build a human skeleton. We propose to fuse the joint po- sition information obtained from the popular Kinect sensor with more precise estimation of body segment orientations provided by a small number of wearable inertial sensors. The use of inertial sensors can help to address many of the well known limitations of the Kinect sensor. The precise calcu- lation of joint angles potentially allows the quantification of movement errors in technique training, thus facilitating the use of the low-cost Kinect sensor for accurate biomechani- cal purposes e.g. the improved human skeleton could be used in visual feedback-guided motor learning, for example. We compare our system to the gold standard Vicon optical mo- tion capture system, proving that the fused skeleton achieves a very high level of accuracy.
http://doras.dcu.ie/20596/
Displaying Results 1 - 9 of 9 on page 1 of 1
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Institution
Dublin City University (8)
University of Limerick (1)
Item Type
Journal article (1)
Other (8)
Peer Review Status
Peer-reviewed (1)
Unknown (8)
Year
2018 (2)
2016 (2)
2015 (3)
2014 (2)
built by Enovation Solutions