An augmented reality home-training system based on the mirror training and imagery approach
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An augmented reality home-training system based on the mirror training and imagery approach. / Trojan, Jörg; Diers, Martin; Fuchs, Xaver; Bach, Felix; Bekrater-Bodmann, Robin; Foell, Jens; Kamping, Sandra; Rance, Mariela; Maaß, Heiko; Flor, Herta.
in: BEHAV RES METHODS, Jahrgang 46, Nr. 3, 09.2014, S. 634-40.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - An augmented reality home-training system based on the mirror training and imagery approach
AU - Trojan, Jörg
AU - Diers, Martin
AU - Fuchs, Xaver
AU - Bach, Felix
AU - Bekrater-Bodmann, Robin
AU - Foell, Jens
AU - Kamping, Sandra
AU - Rance, Mariela
AU - Maaß, Heiko
AU - Flor, Herta
PY - 2014/9
Y1 - 2014/9
N2 - Mirror training and movement imagery have been demonstrated to be effective in treating several clinical conditions, such as phantom limb pain, stroke-induced hemiparesis, and complex regional pain syndrome. This article presents an augmented reality home-training system based on the mirror and imagery treatment approaches for hand training. A head-mounted display equipped with cameras captures one hand held in front of the body, mirrors this hand, and displays it in real time in a set of four different training tasks: (1) flexing fingers in a predefined sequence, (2) moving the hand into a posture fitting into a silhouette template, (3) driving a "Snake" video game with the index finger, and (4) grasping and moving a virtual ball. The system records task performance and transfers these data to a central server via the Internet, allowing monitoring of training progress. We evaluated the system by having 7 healthy participants train with it over the course of ten sessions of 15-min duration. No technical problems emerged during this time. Performance indicators showed that the system achieves a good balance between relatively easy and more challenging tasks and that participants improved significantly over the training sessions. This suggests that the system is well suited to maintain motivation in patients, especially when it is used for a prolonged period of time.
AB - Mirror training and movement imagery have been demonstrated to be effective in treating several clinical conditions, such as phantom limb pain, stroke-induced hemiparesis, and complex regional pain syndrome. This article presents an augmented reality home-training system based on the mirror and imagery treatment approaches for hand training. A head-mounted display equipped with cameras captures one hand held in front of the body, mirrors this hand, and displays it in real time in a set of four different training tasks: (1) flexing fingers in a predefined sequence, (2) moving the hand into a posture fitting into a silhouette template, (3) driving a "Snake" video game with the index finger, and (4) grasping and moving a virtual ball. The system records task performance and transfers these data to a central server via the Internet, allowing monitoring of training progress. We evaluated the system by having 7 healthy participants train with it over the course of ten sessions of 15-min duration. No technical problems emerged during this time. Performance indicators showed that the system achieves a good balance between relatively easy and more challenging tasks and that participants improved significantly over the training sessions. This suggests that the system is well suited to maintain motivation in patients, especially when it is used for a prolonged period of time.
KW - Adult
KW - Complex Regional Pain Syndromes
KW - Equipment Design
KW - Female
KW - Fingers
KW - Hand
KW - Hand Strength
KW - Humans
KW - Imagery (Psychotherapy)
KW - Male
KW - Middle Aged
KW - Movement
KW - Paresis
KW - Phantom Limb
KW - Reproducibility of Results
KW - Stroke
KW - Video Games
KW - Young Adult
U2 - 10.3758/s13428-013-0412-4
DO - 10.3758/s13428-013-0412-4
M3 - SCORING: Journal article
C2 - 24338625
VL - 46
SP - 634
EP - 640
JO - BEHAV RES METHODS
JF - BEHAV RES METHODS
SN - 1554-351X
IS - 3
ER -