Game design for physical therapy and rehabilitation using Kinect

Erdogan, Huseyin; Ekenel, Hazım Kemal

doi:10.1109/tiptekno.2015.7374568

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…1. Here, the subject plays a computer vision‐based fruit picker game where the game contains a basket, fruits, and rocks [26]. In the game, the fruits and rocks fall continuously from above.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we have used the computer‐based fruit picker game [26], which was first integrated to RehabRoby in our earlier work [27], where different task difficulty levels were defined to reflect different engagement levels to the subjects. Rather than separately analysing the engagement on each difficulty level, in this study, we have dynamically adapted the task difficulty level during the game based on the participant's score.…”

Section: Introductionmentioning

confidence: 99%

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Exploring dynamic difficulty adjustment mechanism for rehabilitation tasks using physiological measures and subjective ratings

Ozkul

Palaska

Maşazade

et al. 2019

IET signal process.

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Task engagement is a key factor in sustaining patients’ participation in rehabilitation. Adaptive task difficulty level adjustment techniques are designed to determine the appropriate exercise difficulty level in where subjects are appropriately challenged and engaged without causing any distress. Such adaptive difficulty adjustment within rehabilitation tasks has the potential to individualise training. In this study, the authors have compared two dynamic difficulty level adjustment algorithms, partially ordered set master (POSM) and increment/decrement one level (IDOL), those change the difficulty levels for each individual adaptively based on his/her performance. These two algorithms are integrated into the robot‐assisted rehabilitation system, RehabRoby, and their functionality is explored via a small user study with 20 healthy subjects. The subjects were asked to perform a computer‐based fruit picker game using RehabRoby under these two algorithms. The impacts of the adaptation algorithms are evaluated in terms of engagement of the subjects by looking at their physiological signals, performance (score), and survey results. Experiments show that although POSM on the average suggests easier difficulty levels to the subjects than IDOL, the subjects experience a wider range of difficulty levels in POSM that may help them to become more engaged in the game, which can also be observed by lower skin temperatures of the subjects.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring dynamic difficulty adjustment mechanism for rehabilitation tasks using physiological measures and subjective ratings

Ozkul

Palaska

Maşazade

et al. 2019

IET signal process.

View full text Add to dashboard Cite

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“…assessment for fall detection [36], [37], fall risk reduction in applications for elderly care [38], [39], affordable in-home tele-rehabilitation methods for care and physical rehabilitation [40]- [42], and stroke rehabilitation [43]- [47]. The Kinect's RGB camera and infrared depth sensors infer body gestures and positions based on the skeletal models obtained via machine learning; its frame rate is up to 30 fps.…”

Section: A Kinect-based Devices and Multi-object Tracking In Real-timementioning

confidence: 99%

Portable Motion-Analysis Device for Upper-Limb Research, Assessment, and Rehabilitation in Non-Laboratory Settings

Sohn

Sipahi

Sanger

et al. 2019

IEEE J. Transl. Eng. Health Med.

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This study presents the design and feasibility testing of an interactive portable motion-analysis device for the assessment of upper-limb motor functions in clinical and home settings. The device engages subjects to perform tasks that imitate activities of daily living, e.g. drinking from a cup and moving other complex objects. Sitting at a magnetic table subjects hold a 3D printed cup with an adjustable magnet and move this cup on the table to targets that can be drawn on the table surface. A ball rolling inside the cup can enhance the task challenge by introducing additional dynamics. A single video camera with a portable computer tracks real-time kinematics of the cup and the rolling ball using a custom-developed, color-based computer-vision algorithm. Preliminary verification with marker-based 3D-motion capture demonstrated that the device produces accurate kinematic measurements. Based on the real-time 2D cup coordinates, audiovisual feedback about performance can be delivered to increase motivation. The feasibility of using this device in clinical diagnostics is demonstrated on 2 neurotypical children and also 3 children with upper-extremity impairments in the hospital, where conventional motion-analysis systems are difficult to use. The device meets key needs for clinical practice: 1) a portable solution for quantitative motor assessment for upper-limb movement disorders at non-laboratory clinical settings, 2) a low-cost rehabilitation device that can increase the volume of in-home physical therapy, and 3) the device affords testing and training a variety of motor tasks inspired by daily challenges to enhance self-confidence to participate in day-today activities. INDEX TERMS Quantitative motor assessment, kinematic data acquisition device, upper-limb movement disorder, cerebral palsy, stroke.

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“…In recent years, Kinect has been applied in numerous fields such as elderly care (Ejupi, et al, 2015;Erdoan, & Ekenel, 2015;Doyle, Caprani, & Bond, 2015;Ofli, et al, 2016;Zhang, Conly, & Athitsos, 2015;Zhao, Lun, Espy, & Reinthal, 2014;Zhao, & Lun, 2016), digital learning (Chye, & Nakajima, 2012;Lee, et al, 2012;Yang, et al, 2014), etc. By applying Kinect to digital learning, Too, et al (2016) proposed an alternative learning method via Microsoft Kinect.…”

Section: Kinectmentioning

confidence: 99%

A Kinect- and Game-Based Interactive Learning System

Chang¹,

Hwang

Fang

et al. 2017

EURASIA J MATH SCI T

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This study combined the attention-relevance-confidence-satisfaction (ARCS) motivation model with a game design model to develop a Kinect-and game-based interactive learning system to enhance learning motivation and effect. In this system, game characteristics incorporated into the learning procedure through a game model allowed the learner to have fun while learning, and it stimulated their interest in the learning activities. A Kinectbased somatosensory interface was adopted to enable the learner to control virtual characters by using their physical movements. The learning objective investigated in this study was to learn about various zoo animals. Sixty adults aged 20-25 years were recruited as experiment participants, divided equally between the experimental and control groups. Learning effect was analyzed by using a t test to compare the participants' performance in tests administered before and after one hour of learning. Learning motivation was investigated using a questionnaire in which the four elements of the ARCS model were adopted as four dimensions of inquiry. Compared with the control group, the experimental group achieved a larger test score improvement. Analyzing the questionnaire results confirmed that the learners had significantly increased motivation across all four ARCS dimensions. Finally, learners gave positive evaluations of the developed learning system.

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Game design for physical therapy and rehabilitation using Kinect

Cited by 8 publications

References 2 publications

Exploring dynamic difficulty adjustment mechanism for rehabilitation tasks using physiological measures and subjective ratings

Exploring dynamic difficulty adjustment mechanism for rehabilitation tasks using physiological measures and subjective ratings

Portable Motion-Analysis Device for Upper-Limb Research, Assessment, and Rehabilitation in Non-Laboratory Settings

A Kinect- and Game-Based Interactive Learning System

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