The FysioGaming is the first Dutch Kinect driven exercising platform registered as a Medical Device (CE Marked). Installed in hospitals and clinics across Europe, in China, Australia and the USA. We’re proudly encouraging all patients towards more intense exercising.
Posts Tagged Kinect
[Conference paper] Assistance System for Rehabilitation and Valuation of Motor Skills – Abstract+References
This article proposes a non-invasive system to stimulate the rehabilitation of motor skills, both of the upper limbs and lower limbs. The system contemplates two ambiances for human-computer interaction, depending on the type of motor deficiency that the patient possesses, i.e., for patients with chronic injuries, an augmented reality environment is considered, while virtual reality environments are used in people with minor injuries. In the cases mentioned, the interface allows visualizing both the routine of movements performed by the patient and the actual movement executed by him.
This information is relevant for the purpose of
- (i) stimulating the patient during the execution of rehabilitation, and
- (ii) evaluation of the movements made so that the therapist can diagnose the progress of the patient’s rehabilitation process.
The visual environment developed for this type of rehabilitation provides a systematic application in which the user first analyzes and generates the necessary movements in order to complete the defined task.
The results show the efficiency of the system generated by the human-computer interaction oriented to the development of motor skills.
There are a certain number of arm dysfunction patients whose legs could move. Considering the neuronal coupling between arms and legs during locomotion, this paper proposes a novel human-robot cooperative method for upper extremity rehabilitation. Legs motion is considered at the passive rehabilitation training of disabled arm, and its traversed trajectory is represented by the patient trunk motion. A Kinect based vision module, two computers and a WAM robot construct the human-robot cooperative upper extremity rehabilitation system. The vision module is employed to track the position of the subject trunk in horizontal; the WAM robot is used to guide the arm of post-stroke patient to do passive training with the predefined trajectory, and meanwhile the robot follows the patient trunk movement which is tracked by Kinect in real-time. A hierarchical fuzzy control strategy is proposed to improve the position tracking performance and stability of the system, which consists of an external fuzzy dynamic interpolation strategy and an internal fuzzy PD position controller. Four experiments were conducted to test the proposed method and strategy. The experimental results show that the patient felt more natural and comfortable when the human-robot cooperative method was applied; the subject could walk as he/she wished in the visual range of Kinect. The hierarchical fuzzy control strategy performed well in the experiments. This indicates the high potential of the proposed human-robot cooperative method for upper extremity rehabilitation.
[ARTICLE] New Approaches to Exciting Exergame-Experiences for People with Motor Function Impairments – Full Text
Figure 8. Different scenes while the volunteers were playing. (a) “The Paper-Bird”, (b) “The Ladder”, (c) “The Boat” and (d) “Whack-a-Mole”.
[Master’s thesis] Tracking, monitoring and feedback of patient exercises using depth camera technology for home based rehabilitation – ANNA RIDDERSTOLPE – Full Text PDF
Neurological and chronic diseases have profound impacts on a person’s life. Rehabilitation is essential in order to maintain and promote maximal level of recovery by pushing the bounds of physical, emotional and cognitive impairments. However, due to the low physical mobility and poor overall condition of many patients, traveling back and forth to doctors, nurses and rehabilitation centers can be exhausting tasks. In this thesis a game-based rehabilitation platform for home usage, supporting stroke and COPD rehabilitation is presented. The main goal is to make rehabilitation more enjoyable, individualized and easily accessible for the patients.
The game-based rehabilitation tool consists of three systems with integrated components: the caregiver’s planning and follow-up system, the patient’s gaming system and the connecting server system. The server back end components allow the storage of patient specific information that can be transmitted between the patient and the caregiver system for planning, monitoring and feedback purposes. The planning and follow-up system is a server system accessed through a web-based front-end, where the caregiver schedules the rehabilitation program adjusted for each individual patient and follow up on the rehabilitation progression. The patient system is the game platform developed in this project, containing 16 different games and three assessment tests. The games are based on specific motion patterns produced in collaboration with rehabilitation specialists. Motion orientation and guidance functions is implemented specifically for each exercise to provide feedback to the user of the performed motion and to ensure proper execution of the desired motion pattern.
The developed system has been tested by several people and with three real patients. The participants feedback supported the use of the game-based platform for rehabilitation as an entertaining alternative for rehabilitation at home. Further implementation work and evaluation with real patients are necessary before the product can be used for commercial purpose.
Body joint movement analysis is extremely essential for health monitoring and treatment of patients with neurological disorders and stroke. Chronic hemiparesis of the upper extremity following a stroke causes major hand movement limitations. There is possibility of permanent reduction in muscle coactivation and corresponding joint torque patterns due to stroke . Several studies suggest that abnormal coupling of shoulder adductors with elbow extensors and shoulder abductors with elbow flexors often leads to some stereotypical movement characteristics exhibited by severe stroke patients . Therefore continuous and effective rehabilitation therapy is absolutely essential to monitor and control such abnormalities. There is a substantial need for home-based rehabilitation post-clinical therapy.
With an ageing population problem increasingly prominent, the number of hemiplegia patients is growing caused by stroke, which has a high morbidity and high mortality rate . Stroke can lead to the dysfunction of the brain central nervous, often characterized by language, cognitive or motor dysfunction , . The medical rehabilitation mechanism of stroke is based on neural plasticity theory and the theory of mirror neurons .
[VIDEO] FysioGaming – exercising platform for physical therapy using a Kinect sensor (rehabilitation) – YouTube
Published on Sep 13, 2013
[ARTICLE] Quantitative Analysis of the Human Upper-Limp Kinematic Model for Robot-based Rehabilitation Applications – Full Text PDF
Abstract—Upper-limb robotic rehabilitation systems should inform the therapists for their patients status. Such therapy systems must be developed carefully by taking into consideration real life uncertainties that associate with sensor error. In our paper, we describe a system which is composed of a depth camera that tracks the motion of the patients upper limb, and a robotic manipulator that challenges the patient with repetitive exercises. The goal of this study is to propose a motion analysis system that improves the readings of the depth camera, through the use of a kinematic model that describes the motion of the human arm. In our current experimental set-up we are using the Kinect v2 to capture a participant who performs rehabilitation exercises with the Barrett WAM robotic manipulator. Finally, we provide a numerical comparison among the stand alone measurements from the Kinect v2, the estimated motion parameters of our system and the VICON, which we consider as an error-free ground truth apparatus.
It is generally accepted that the role of modern physical rehabilitation is essential for the enhancement or restoration of inherent or incidental motor skills disorders. Such disorders may result from a variety of different causes such as amputation, spinal cord injury, musculoskeletal impairment and even brain injury. In light of this phenomenon, robotic rehabilitation augments classical rehabilitation techniques, from the scope that adaptable robotic devices, such as mechanical manipulators, can be used to complement the training routines of a physiatrist or occupational therapist. In this paper we describe and evaluate a novel system that can be used by physicians and therapists to monitor the state of the upper limbs of a patient who performs exercises. The system emphasizes the use of the Microsoft Kinect v2 as opposed to wearable sensors, such as embedded accelerometers, gyroscopes and EMGs. In the following sections we present, analyze and evaluate the proposed system. Speciﬁcally, in section 2 we discuss how related studies manage to tackle the problem of pose estimation with vision based or wearable sensors. Furthermore, we discuss how our system exploits the kinematic formulas that originate from the area of robotic mechanics and describe the motion or rigid bodies that can be abstracted via a kinematic chain. We also illustrate an overview of the system, address its core processes and state certain assumptionsthatleadtothesystemsrealization.Asexpected, in the last sections of the paper we detail the physical experimental setup for the assessment of the system and we consider possible avenues for future work.