PERSONAL DIGITAL TRAINER FOR PHYSIOTHERAPUTIC AND REHABILITATIVE VIDEO GAMES

Abstract

A method of controlling a user specific rehabilitative video game, including: monitoring user motion during the game using a motion recognition gaming system; wherein the user is required to perform specific exercises dictated by a game plan; checking compliance of the user motion to an ideal motion for performing the exercises; providing feedback to the user based on the user's performance relative to the ideal motion; updating a level of feedback responsive to the user's performance throughout the game, and optionally, changing the game plan responsive to the user's performance throughout the game.

Description

FIELD OF THE INVENTION

The invention relates to personal digital trainer for physiotherapeutic and rehabilitative video games.

BACKGROUND

Decline in physical function is often associated with age-related impairments to overall health, or may be the result of injury or disease. Such a decline contributes to parallel declines in self-confidence, social interactions and community involvement. People with motor disabilities often experience limitations in fine motor control, strength, and range of motion. These deficits can dramatically limit their ability to perform daily tasks, such as dressing, hair combing, and bathing, independently. In addition, these deficits, as well as pain, can reduce participation in community and leisure activities, and even negatively impact occupation.

Participating in and complying with physical therapy, which usually includes repetitive exercises, is an essential part of the rehabilitation process which is aimed to help people with motor disabilities overcome the limitations they experience. However, it has been argued that most of the people with motor disabilities do not perform the exercises as recommended. People often cite a lack of motivation as an impediment to them performing the exercises regularly. Furthermore, the number of exercises in a therapy session is oftentimes insufficient. During rehabilitation, the therapist usually personally provides physical assistance and monitors whether each student's movements are reaching a specific standard. Thus, the therapist can only rehabilitate one patient at a time, or a small group of patients at most. Patients often lack enthusiasm to participate in the tedious rehabilitation process, resulting in continued muscle atrophy and insufficient muscle endurance.

Also, it is well known that adults and especially children get bored repeating the same movements. This can be problematic when an adult or a child has to exercise certain muscles during a post-trauma rehabilitation period. For example, special exercises are typically required after a person breaks his or her arm. It is hard to make this repetitive work interesting. Existing methods to help people during rehabilitation include games to encourage people, and especially children, to exercise more.

Therefore, it is highly advantageous for patients to perform rehabilitative physical therapy at home, using techniques to make repetitive physical exercises more entertaining. Uses of video games technologies are beginning to be explored as a commercially available means for delivering training and rehabilitation programs to patients in their own homes.

U.S. Pat. No. 6,712,692 to Basson et al. discloses a method for gathering information about movements of a person, which could be an adult or child. This information is mapped to one or more game controller commands. The game controller commands are coupled to a video game, and the videogame responds to the game controller commands as it would normally.

U.S. Pat. No. 7,996,793 to Latta et al. discloses Systems, methods and computer readable media for gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, which may then be tuned by application receiving information from the gesture recognizer so that the specific parameters of the gesture-such as arm acceleration for a throwing gesture may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.

U.S. Patent Application No. 2012/0190505A1 to Shavit et al. discloses a system for monitoring performance of a physical exercise routine comprises a Pilates exercise device enabling a user to perform the physical exercise routine, a plurality of motion and position sensors for generating sensory information that includes at least position and movements of a user performing the physical exercise routine; a database containing routine information representing at least an optimal execution of the physical exercise routine; a training module configured to separate from sensory information at least appearance of the Pilates exercise device, compare the separated sensory information to the routine information to detect at least dissimilarities between the sensory information and the routine information, wherein the dissimilarities indicate an incorrect execution of the physical exercise routine, the training module is further configured to feedback the user with instructions related to correcting the execution of the physical exercise routine by the user; and a display for displaying the feedback.

Smith et al. (2012) disclose an overview of the main videogame console systems (Nintendo Wii™, Sony Playstation® and Microsoft Xbox®) and discussion of some scenarios where they have been used for rehabilitation, assessment and training of functional ability in older adults. In particular, two issues that significantly impact functional independence in older adults are injury and disability resulting from stroke and falls. See S. T. Smith, D. Schoene, The use of Exercise-based Videogames for Training and Rehabilitation of Physical Function in Older Adults, Aging Health. 2012; 8(3):243-252.

Ganesan et al. (2012) disclose a project that aims to find the factors that play an important role in motivating older adults to maintain a physical exercise routine, a habit recommended by doctors but difficult to sustain. The initial data gathering includes an interview with an expert in aging and physical therapy, and a focus group with older adults on the topics of exercise and technology. Based on these data, an early prototype game has been implemented for the Microsoft Kinect that aims to help encourage older adults to exercise. The Kinect application has been tested for basic usability and found to be promising. Next steps include play-tests with older adults, iterative development of the game to add motivational features, and evaluation of the game's success in encouraging older adults to maintain an exercise regimen. See S. Ganesan, L. Anthony, Using the Kinect to encourage older adults to exercise: a prototype, in Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI'2012), Austin, Tex., 5 May 2012, p. 2297-2302.

Lange et al. (2011) disclose that the use of the commercial video games as rehabilitation tools, such as the Nintendo WiiFit, has recently gained much interest in the physical therapy arena. Motion tracking controllers such as the Nintendo Wiimote are not sensitive enough to accurately measure performance in all components of balance. Additionally, users can figure out how to “cheat” inaccurate trackers by performing minimal movement (e.g. wrist twisting a Wiimote instead of a full arm swing). Physical rehabilitation requires accurate and appropriate tracking and feedback of performance. To this end, applications that leverage recent advances in commercial video game technology to provide full-body control of animated virtual characters are developed. A key component of the approach is the use of newly available low cost depth sensing camera technology that provides markerless full-body tracking on a conventional PC. The aim of the research was to develop and assess an interactive game-based rehabilitation tool for balance training of adults with neurological injury. See B. Lange, C. Y. Chang, E. Suma, B. Newman, A. S. Rizzo, M. Bolas, Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor, 33rd Annual International Conference of the IEEE EMBS, 2011.

Differently from “regular” garners, for patients who use video games for physiotherapy and rehabilitation purposes there is a great significance to the accuracy of postures and gestures, and for the correct way of performing the exercises.

Shen (2012) discloses a natural user interface to control the visualizer—“Visual Molecule Dynamics” using the Microsoft Kinect. The related background of human-computer interaction, image processing, pattern recognition and computer vision are introduced. An original algorithm was designed for counting the finger number of the hand shape, which depends on the binarilization of depth image and the morphology binary processing. A Bayesian classifier was designed and implemented for the gesture recognition tasks. See Chen Shen, Controlling Visual Molecule Dynamics using Microsoft Kinect, the University of Edinburgh, 2012.

Lopez (2012) discusses the problem of Human Gesture Recognition using Human Behavior Analysis technologies. In particular, he applies the proposed methodologies in both health care and social applications. In these contexts, gestures are usually performed in a natural way, producing a high variability between the Human Poses that belong to them. This fact makes Human Gesture Recognition a very challenging task, as well as their generalization on developing technologies for Human Behavior Analysis. In order to tackle with the complete framework for Human Gesture Recognition, he split the process in three main goals: Computing multi-modal feature spaces, probabilistic modelling of gestures, and clustering of Human Poses for Sub-Gesture representation. Each of these goals implicitly includes different challenging problems, which are interconnected and faced by three presented approaches: Bag-of-Visual-and-Depth-Words, Probabilistic-Based Dynamic Time Warping, and Sub-Gesture Representation. The methodologies of each of these approaches are explained in detail. He has validated the presented approaches on different public and designed data sets, showing high performance and the viability of using our methods for real Human Behavior Analysis systems and applications. Finally, he shows a summary of different related applications currently in development, as well as both conclusions and future trends of research. See Victor Ponce Lopez, Multi-Modal Human Gesture Recognition Combining Dynamic Programming and Probabilistic Methods, Master of Science Thesis, Barcelona, 2012.

As mentioned above, since physiotherapy and rehabilitation video games have a dedicated purpose of improving the patient health, there is also a great significance of monitoring malfunctions in the process, by way of providing feedback to the patient of exercises performed wrongly, providing advice of corrective actions, etc.

The foregoing examples of the related art and limitations related therewith are intended to be illustrative and not exclusive. Other limitations of the related art will become apparent to those of skill in the art upon a reading of the specification and a study of the figures.

SUMMARY

An aspect of an embodiment of the disclosure relates to a system and method of controlling a user specific rehabilitative video game. In the video game the user is required to perform specific exercises dictated by a game plan. The system monitors user motion during the game using a motion sensor and compares the accuracy of the user in performing the exercises relative to an ideal motion and provides the user a score representing a level of compliance to the ideal motion. The system provides feedback to the user based on the level of compliance while optionally, taking into account a playing mode that defines how accurate the user needs to be in performing the exercises. Based on the user's scores during the game the system updates a level of providing feedback to the user.

In some embodiments of the disclosure, the game plan is updated responsive to the user's performance throughout the game. Optionally, the system may reduce or increase the number of exercises or replace exercises with other exercises.

There is thus provided in accordance with an exemplary embodiment of the disclosure, a method of controlling a user specific rehabilitative video game, the method comprising:

monitoring user motion during the game using a motion recognition gaming system; wherein the user is required to perform specific exercises dictated by a game plan;

checking compliance of the user motion to an ideal motion for performing the exercises;

providing feedback to the user based on the user's performance relative to the ideal motion;

updating a level of feedback responsive to the user's performance throughout the game.

In an exemplary embodiment of the disclosure, the method further comprises changing the game plan responsive to the user's performance throughout the game. Optionally, changing the game plan includes adding or removing exercises.

Alternatively or additionally, changing the game plan includes replacing exercises with harder or easier exercises. In an exemplary embodiment of the disclosure, changing the game plan includes halting the game until receiving authorization from a therapist to continue. Optionally, the game can be played in multiple modes including a beginner mode that requires less compliance to the ideal motion than an experienced user mode that requires stricter compliance to the ideal motion. In an exemplary embodiment of the disclosure, the feedback can be positive or negative depending on the user performance. Optionally, the feedback includes notifying the user of problems in performing the exercises. In an exemplary embodiment of the disclosure, the feedback includes querying the user about the reason for failure to perform at an expected level. Optionally, the feedback includes teaching the user how to correctly perform an exercise. In an exemplary embodiment of the disclosure, the feedback can be provided by the gaming system in any of the following methods:

a. a written message displayed to the user;

b. a voice message sounded to the user;

c. a visual pictorial message displayed to the user;

d. a video played to the user; and

e. a query presented to the user with a list of options to select from.

In an exemplary embodiment of the disclosure, a lower level of feedback includes notifying the user that an exercise was not performed correctly, a higher level includes notifying the user what was wrong with the user's performance of the exercise and an even higher level includes teaching the user how to perform the exercise. Optionally, the feedback level for a specific exercise is increased if the user fails in performing the specific exercise multiple times. In an exemplary embodiment of the disclosure, the feedback level for a specific exercise is decreased if the user receives a high score in performing the specific exercise most of the time. Optionally, the feedback level for an entire game is increased if the user receives low scores for most of the exercises in the game.

There is further provided according to an exemplary embodiment of the disclosure, a system for controlling a user specific rehabilitative video game, comprising:

a processor and memory for executing a gaming program;

a motion sensor to detect user motion;

a screen to display information for the user;

wherein the gaming program is programmed to:

• • monitor user motion during the game using the motion sensor; wherein the user is required to perform specific exercises dictated by a game plan;
  • check compliance of the user motion to an ideal motion for performing the exercises;
  • provide feedback to the user based on the user's performance relative to the ideal motion;
  • update a level of feedback responsive to the user's performance throughout the game.

In an exemplary embodiment of the disclosure, the gaming program is further programmed to change the game plan responsive to the user's performance throughout the game. Optionally, changing the game plan includes adding or removing exercises. In an exemplary embodiment of the disclosure, changing the game plan includes replacing exercises with harder or easier exercises. Optionally, changing the game plan includes halting the game until receiving authorization from a therapist to continue.

BRIEF DESCRIPTION OF THE FIGURES

Exemplary embodiments are illustrated in referenced figures. Dimensions of components and features shown in the figures are generally chosen for convenience and clarity of presentation and are not necessarily shown to scale. The figures are listed below.

FIG. 1 shows a block diagram of the system for rehabilitative treatment, in accordance with some embodiments;

FIG. 2 shows an example of a dedicated web page which summarizes information on a certain patient, in accordance with some embodiments;

FIG. 3 shows an example of a dedicated web page which is utilized by the therapist to construct a therapy plan for a certain patient, in accordance with some embodiments;

FIG. 4 shows an illustration of a structured light method for depth recognition, in accordance with some embodiments;

FIG. 5 shows a top view 2D illustration of a triangulation calculation used for determining a pixel depth, in accordance with some embodiments;

FIG. 6 shows an illustration of a human primary body parts and joints, in accordance with some embodiments;

FIG. 7 shows an example of one video game level screen shot, in accordance with some embodiments;

FIG. 8 shows an example of another video game level screen shot, in accordance with some embodiments;

FIG. 9 shows an illustration of a right lunge exercise monitoring, in accordance with some embodiments;

FIG. 10 shows an illustration of a right pendulum exercise monitoring, in accordance with some embodiments;

FIG. 11 shows an illustration of a double leg jump exercise monitoring, in accordance with some embodiments;

FIG. 12 shows an illustration of a left leg jump monitoring, in accordance with some embodiments;

FIG. 13 shows a block diagram of a gesture detection method, in accordance with some embodiments;

FIG. 14 shows a block diagram of a personal trainer within the system, in accordance with some embodiments;

FIG. 15 shows a flowchart of feedback handling, in accordance with some embodiments;

FIG. 16 shows a schematic flow diagram of a method of creating a user specific therapeutic game, in accordance with some embodiments;

FIG. 17 shows a schematic flow diagram of a method of monitoring a user specific therapeutic game, in accordance with some embodiments; and

FIG. 18 shows a schematic diagram of feedback messages for a user when required to perform a specific exercise, in accordance with some embodiments.

DETAILED DESCRIPTION

Disclosed herein are system and a method for discrepancy detection and alert displaying in a kinetic rehabilitation system.

Conventionally, people who require rehabilitative therapy, such as accident victims who suffered physical damages and need physiotherapeutic treatment, elderly people who suffer from degenerative diseases, children who suffer from physically-limiting cerebral palsy, etc., arrive to a rehabilitation center, meet with a therapist who prescribes a therapy plan for them, and execute the plan at the rehabilitation center and/or at home. In many cases, the therapy plan comprises of repeatedly-performed physical exercises, with or without therapist supervision. The plan normally extends over multiple appointments, when in each appointment the therapist may monitor the patient's progress and raise the difficulty level of the exercises. This conventional method has a few drawbacks: it requires the patient's arrival to the rehabilitation center, at least for a portion of the plan, which may be time consuming and difficult for some people (e.g. elderly people, small children, etc,), it often involves repetitive and boring activity, which may lead to lack of motivation and abandonment of the plan, and may limit the therapist to treat a rather small number of patients.

Thus, allowing the executing a therapy plan in the form of a video game, at the convenience of the patient's home, with easy communication between therapists and patients for plan prescribing and progress monitoring, may be highly advantageous to both therapists and patients. Moreover, combining the aforementioned advantages while providing for patient-specific video games, rather than generic video games, is also of great significance.

Nevertheless, for achieving efficient therapy using video games, the exercises need to be performed with care to movement accuracy, performance duration, etc.

Currently, many regular interactive video games which utilize a motion recognition device do not take such parameters into consideration, mostly because such accuracy is not needed for regular video games.

Moreover, providing the patient with feedback of wrongly performed exercises and advice for corrective actions during the rehabilitative process is also important to achieve the rehabilitation purpose and not harming the patient. Hence, a system and method for providing feedbacks and advisories to the patient may be also advantageous.

Glossary

Video game: a game for playing by a human player, where the main interface to the player is visual content displayed using a monitor, for example. A video game may be executed by a computing device such as a personal computer (PC) or a dedicated gaming console, which may be connected to an output display such as a television screen, and to an input controller such as a handheld controller, a motion recognition device, etc.

Level of video game: a confined part of a video game, with a defined beginning and end. Usually, a video game includes multiple levels, where each level may involve a higher difficulty level and require more effort from the player.

Video game controller: a hardware part of a user interface (UI) used by the player to interact with the PC or gaming console.

Kinetic sensor: a type of a video game controller which allows the user to interact with the PC or gaming console by way of recognizing the user's body motion. Examples include handheld sensors which are physically moved by the user, body-attachable sensors, cameras which detect the user's motion, etc.

Motion recognition device: a type of a kinetic sensor, being an electronic apparatus used for remote sensing of a player's motions, and translating them to signals that can be input to the game console and used by the video game to react to the player motion and form interactive gaming.

Motion recognition game system: a system including a PC or game console and a motion recognition device.

Video game interaction: the way the user instructs the video game what he or she wishes to do in the game. The interaction can be, for example, mouse interaction, controller interaction, touch interaction, close range camera interaction or long range camera interaction.

Gesture: a physical movement of one or more body parts of a player, which may be recognized by the motion recognition device.

Exercise: a physical activity of a specific type, done for a certain rehabilitative purpose. An exercise may be comprised of one or more gestures. For example, the exercise referred to as “lunge”, in which one leg is moved forward abruptly, may be used to strengthen the quadriceps muscle, and the exercise referred to as “leg stance” is may be used to improve stability, etc.

Repetition (also “instance”): one performance of a certain exercise. For example, one repetition of a leg stance exercise includes gestures which begin with lifting one leg in the air, maintaining the leg in the air for a specified period of time, and placing the leg back on the ground.

Intermission: A period of time between two consecutive repetitions of an exercise, during which period the player may rest.

One example for a suitable motion recognition device is the Microsft Corp. Kinect, a motion-sensing camera for the Xbox 360 video game console and Windows PCs. Based around a webcam-style add-on peripheral for the Xbox 360 console, the Kinect enables users to control and interact with the Xbox 360 using a kinetic UI, without the need to touch a game controller, through a natural user interface using physical gestures.

The present system and method may also be adapted to other gaming consoles, such as Sony PlayStation, Nintendo Wii, etc., and the motion recognition device may be a standard device for these or other gaming consoles.

Unless specifically stated otherwise, as apparent from the following discussions, it is appreciated that throughout the specification discussions utilizing terms such as “processing”, “computing”, “calculating”, “determining”, or the like, refer to the action and/or process of a computing system or a similar electronic computing device, that manipulate and/or transform data represented as physical, such as electronic, quantities within the computing system's registers and/or memories into other data similarly represented as physical quantities within the computing system's memories, registers or other such.

Some embodiments may be implemented, for example, using a computer-readable medium or article which may store an instruction or a set of instructions that, if executed by a computer (for example, by a hardware processor and/or by other suitable machines), cause the computer to perform a method and/or operations in accordance with embodiments of the invention. Such a computer may include, for example, any suitable processing platform, computing platform, computing device, processing device, computing system, processing system, computer, processor, gaming console or the like, and may be implemented using any suitable combination of hardware and/or software. The computer-readable medium or article may include, for example, any type of disk including floppy disks, optical disks, CD-ROMs, magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), flash memories, electrically programmable read-only memories (EPROMs), electrically erasable and programmable read only memories (EEPROMs), magnetic or optical cards, or any other type of media suitable for storing electronic instructions, and capable of being coupled to a computer system bus.

The instructions may include any suitable type of code, for example, source code, compiled code, interpreted code, executable code, static code, dynamic code, or the like, and may be implemented using any suitable high-level, low-level, object-oriented, visual, compiled and/or interpreted programming language, such as C, C++, C#, Java, BASIC, Pascal, Fortran, Cobol, assembly language, machine code, or the like.

The present system and method may be better understood with reference to the accompanying figures. Reference is now made to FIG. 1, which shows a block diagram of the system for rehabilitative treatment. The therapist 102 may logon to the dedicated web site 104, communicate with patients 100, prescribe therapy plans (also referred to as “prescriptions” or “treatment plans”), and monitor patient progress. Web site 104 may receive the prescribed plan and store it in a dedicated database 106. The therapy plan than may be automatically translated to a video game level. When patient 100 activates his or her video game, the new level, or instructions for generating the new level, may be downloaded to his or her gaming console 108 and he or she may play this new level. Since the game may be interactive, the motion recognition device may monitor the patient movements for storing patient results and progress, and or for providing real time feedback during the game play, such as in the form of score accumulation. The results, in turn, may be sent to database 106 for storage and may be available for viewing on web site 104 by therapist 102 for monitoring patient 100 progress, and to patient 100 for receiving feedback.

Reference is now made to FIG. 2, which shows an example of a dedicated web site page which summarizes information on a certain patient for the therapist. The page may display a summary of the patient profile, appointments history, diagnosis, other therapists comment history, etc.

Reference is now made to FIG. 3, which shows an example of a dedicated web site page which is utilized by the therapist to construct a therapy plan for a certain patient. The therapist may input the required exercises, repetition number, difficulty level, etc. Since the use of motion recognition device may be significant for the present method, the principle of operation of a commercially-available motion recognition device (Kinect) and its contribution to the method is described hereinafter.

Reference is now made to FIG. 4, which shows an illustration of a structured light method for depth recognition. A projector may be used for projecting the scene with known stripe-like light pattern. The projected object may distort the light pattern with equivalency to its shape. A camera, which may be installed at a known distance from the projector, may then capture the light reflected from the object and sense the distortion that may be formed in the light pattern, and the angle of the reflected light, for each pixel of the image.

Reference is now made to FIG. 5, which shows a top view 2D illustration of a triangulation calculation used for determining a pixel depth. The camera may be located in a known distance from the light source (b). P is a point on the projected object which coordinates are to be calculated. According to the law of sines:

$\frac{d}{\sin \alpha }=\frac{b}{\sin \gamma }\stackrel{\mathrm{yields}}{}d=\frac{b·\sin \alpha }{\sin \gamma }=\frac{b·\sin \alpha }{\sin \left(\pi -\alpha -\beta \right)}=\frac{b·\sin \alpha }{\sin \left(\alpha +\beta \right)}$

and P coordinates are given by (d cos β, d sin β). Since α and b are known, and β is defined by the projective geometry, P coordinates may be resolved. The above calculation is made for 2D for the sake of simplicity, but the real device may actually calculate a 3D solution for each pixel coordinates to form a complete depth image of the scene, which may be utilized to recognize human movements.

Reference is now made to FIG. 6, which shows an illustration of human primary body parts and joints. By recognizing the patient body parts and joints movements, the discussed method may enable to analyze the patient gestures and responses to the actions required by the game, for yielding an immediate feedback for the patient, and for storage for future analysis by the therapist.

Reference is now made to FIG. 7, which shows one example of a video game level screen shot. This specific level may be designed to include squats, lunges, kicks, leg pendulums, etc. The patient may see a character 700 performing his own movements at real time. Character 700 may stand on a moving vehicle 702, which may accelerate when the patient is performing squats, and may slow when the patient lunges. Some foot spots 704 may be depicted on vehicle 702 platform and may be dynamically highlighted, in order to guide the patient to place his feet in the correct positions while performing the squats, lunges, kicks, etc. Right rotating device 706a and left rotating device 706b may be depicted on the right and left sides of vehicle 702, to form a visual feedback for the patient while performing leg pendulum exercises.

Reference is now made to FIG. 8, which shows another example of a video game level screen shot. This specific level may be designed to include hip flexions, leg stances and jumps, etc. The patient may see a character 800 performing his own movements at real time. Character 800 may advance on a rail 802 planted with obstacles 804. The patient may need to perform actions such as hip flexion, leg jump, etc., to avoid the obstacles and/or collect objects.

Joints Mutual Relation Calculation

Reference is now made to FIG. 9, which shows an illustration of a right lunge exercise monitoring. A patient in a lunge initial posture 900 may perform a lunge exercise, which may end in a lunge final posture 902. Patient movement may be monitored by a motion recognition device (e.g. Kinect) 904 by way of sampling location of a plurality of body joints in a three dimensional space (i.e. x,y,z coordinates), within each frame it captures. A series of frames may then be transferred at a frame rate which may be 20, 30, 40 frames per second or more to a computing device such as a gaming console 906.

Gaming console 906 may include a processor 908 and a stored set of values 910 in order to compute and translate patient movement to distinguished postures and gestures. Processor 908 may convert locations of body joints in a three dimensional space (i.e. x,y,z coordinates) to spatial relations between body limbs and/or joints (i.e. distances between limbs and/or joints, and/or angles between vectors temporally formed by limbs and/or joints) for each captured frame. The calculation results may then be compared to stored set of values 910. These values may define the required spatial relations between body limbs and/or joints (i.e. the required range for distances between limbs and/or joints, and/or angles between vectors formed by limbs and/or joints) for an appropriate performing of a specific exercise at any phase of its execution (including start and end of exercise).

In addition, stored set of values 910 may also store range values for the transition time between spatial relations required to appropriately perform the exercise within its different phases. In the depicted example, for appropriate performance of a lunge, a certain initial posture 900 may be required. Processor 908 may calculate spatial distances and/or angles between right hip joint 912, right knee 914 and right ankle 916 in the following way: a vector between right hip joint 912 and right knee 914 may be calculated, by subtracting their spatial positions. Similarly, a vector between right knee 914 and right ankle 916 may be calculated. Finally, a spatial angle between these vectors may be calculated, to verify that these joints may be approximately aligned on one line (i.e. patient right leg is approximately straight). Similarly, left hip joint 918, left knee 920 and left ankle 922 may be also required to be approximately aligned on one line (i.e. patient left leg is straight). Right ankle 916 and left ankle 922 may be required to be approximately on the same height, within a certain distance between them. Finally, right knee 914 and left knee 920 may be required to be aligned (i.e. none of them should stick out forward), within a certain distance between them.

A certain final posture 902 may be required as well. Processor 908 may calculate spatial distances and/or angles between right hip joint 912 and right knee 914 in the following way: a vector between right hip joint 912 and right knee 914 may be calculated, by subtracting their spatial positions. This vector may be required to be parallel to the floor, which is, for example, an XZ plane whose Y value equals zero. Similarly, a vector between right knee 914 and right ankle 916 may be calculated. This vector may be required to be perpendicular to the floor. Finally, a spatial angle between these vectors may be calculated, to verify that they may form a 90°±10° angle between them (i.e. patient right shin is 90°±10° bent in relation to the right hip). Similarly, the vector between left hip joint 918 and left knee 920, may be required to be perpendicular to the floor. Finally, right knee 914 and left knee 920 may be required to be within a certain distance (i.e. patient knees are not inbound or outbound). It should be noticed that when in final posture 902, left ankle 922 might be concealed from motion recognition device 904 by left knee 920 and/or left hip. In this situation, motion recognition device 904 may mistakenly transfer false left ankle 922 position (e.g. Under the floor level), or transfer no position at all. The system may detect this situation and may make assumptions to correct concealed left ankle 922 position according to concealing left knee 920 position. Another option for the system in this situation may be not regarding left ankle 922 at all in its calculations.

Similarly, mid-postures between initial and final postures may be defined. Their parameters may be stored in stored set of values 910 and may be calculated and compared by processor 908. The calculation may be performed on each captured frame of the patient, or less, depending on the exercise nature.

Also for appropriate performance of an exercise, a certain time from initial posture 900 to final posture 902, time for transition between mid-postures, and time for sustaining in final posture 902 may be required. Processor 908 may calculate these time values and compare them to the values stored set of values 910.

Post Gesture Calculation

Reference is now made to FIG. 10, which shows an illustration of a right pendulum exercise monitoring. A patient in a right pendulum initial posture 1000 may perform a right pendulum exercise, which may end in the same posture 1000 (i.e. in this exercise the initial and final postures may be identical). In this kind of exercises, post processing may be done by processor 908. In other words, although patient movement may be monitored by motion recognition device 904 and a series of frames may be transferred to gaming console 906 in real time, processor 908 may calculate spatial distances regarding patient movement and compare them to stored set of values 910 only when the final posture of the exercise is identified. In the depicted example, for appropriate performance of a right pendulum, a certain initial posture 1000 may be required. The calculation of initial posture 1000 requirements may be similar to the calculation of initial posture 900, described in a previous example (right lunge exercise). As said before, as final posture may be identical to initial posture 1000, it may have the same requirements. In right pendulum exercise, the patient may be required to perform a circle-like motion with his or her right ankle 916. The imaginary circle may have a high point 1002, in which right ankle 916 is closest to motion recognition device 904 on z axis, a low point 1004, in which right ankle 916 is farthest from motion recognition device 904 on z axis, and a side point 1006, in which right ankle 916 is farthest from patient body on x axis. These points may be required to be on a certain chronological sequence: high point 1002 may be required to appear before side point 1006, which may be required to appear before low point 1004. The distance between high point 1002 and low point 1006 on z axis (also referred as the height of the movement) may be required to be in a certain range. The distance between side point 1006 and the opposite side point on x axis (also referred as the width of the movement) may be required to be in a certain range. The difference between the height and the width may be required to be in a certain range (i.e. the pendulum movement is circle-like enough). Z values of side point 1006 and the opposite side point may be required to be similar, and the difference between this segment and the width of the movement may be required to be within a certain range. Y values of side point 1006 and high point 1002 may be required to have a sufficient difference, similarly to the y values of side point 1006 and the supporting left ankle 922 (i.e. patient right leg did not touch the floor during the exercise). Also for appropriate performance of an exercise, both of patient legs may be required to be straight, and patient shoulders 1008 and 1010 may be required to not lean to the sides.

Also for appropriate performance of an exercise, a certain time from initial posture 1000 to final posture 1000 may be required. Processor 908 may calculate these time values and compare them to the values stored set of values 910.

Joints Temporal Relation Calculation

Reference is now made to FIG. 11, which shows an illustration of double leg jump exercise monitoring. In this kind of exercises, the spatial relations between the patient joints may remain similar during the exercise. In other words, there may not be much of a movement of a certain joint in relation to one or more other joints. Thus, in these cases, a reliable way to calculate if the exercise was performed correctly may be to find a spatial relation between a certain joint location and the same joint location at a different time. Namely, to find a difference between a current location of certain joints and their predecessor location. In the double leg jump example, right and left hips (912 and 918) and right and left ankles (916 and 922) may be monitored, since their location may have a significant difference during the exercise, especially on y axis. If an upwards tendency of these joints may be monitored after a satisfying initial previous posture was achieved, the difference between the y values of these joints and their initial y values may be required to be in a certain range, until exceeding a certain threshold, to determine a jump. When a downwards tendency may be recognized, conditions for final posture may be sought. The double leg jump may end with a final posture, which is actually immediately after landing. Z and y values of right and left ankles (916 and 922) may be required to be similar.

Combined Calculation

Reference is now made to FIG. 12, which shows an illustration of a left leg jump exercise monitoring. A patient in a left leg jump initial posture 1200 may perform a left leg jump exercise, which may end in the same posture 1200 (i.e. in this exercise the initial and final postures may be identical). Initial (and final) posture 1200 may actually be a left leg stance. As said before, as final posture may be identical to initial posture 1200, they may have the same requirements. In the case of a single (right or left) leg jump, if one or more of the following joints: right and left hips (912 and 918), right and left knees (914 and 920), and right and left ankles (916 and 922) may not be recognized by motion recognition device 904, no other calculations may be done, to avoid false gesture recognition. While performing the jump, the calculation may take into account similar considerations as described in a previous example (double leg jump exercise). In other words, left hip 918 and left ankle 922 may be monitored, since their location may have a significant difference during the exercise, especially on y axis. If an upwards tendency of these joints may be monitored after a satisfying initial posture 1200 was achieved, the difference between the y values of these joints and their initial y values may be required to be in a certain range, until exceeding a certain threshold, to determine a jump. When a downwards tendency may be recognized, conditions for final posture may be sought.

Reference is now made to FIG. 13, which shows a block diagram of gesture detection method. A time series of frames 1300 may be continuously received. Each frame may hold three dimensional position of each of a plurality of patient body joints (i.e. x,y,z coordinates). The coordinates may be then converted 1302 to spatial relations between body limbs and/or joints (i.e. distances between limbs and/or joints, and/or angles between vectors formed by limbs and/or joints) for each captured frame. The spatial relations may be then compared 1304 to corresponding data in database 910. Since a spatial relation may have a range (also stored in database 910), the spatial relations extracted from frames 1300 may vary within their ranges, and still be considered to depict a phase of a successful exercise. Since the way of performing the exercise may be highly important, the order of exercise phases and time between them may have a great significance. Thus, the transition time between each identified exercise phase, which may be checked at each frame or less, may need to be within a range also. If checking ranges 1306 yields a negative result, that phase of the exercise may have not been performed correctly by the patient, and a non success feedback 1308 may be displayed to the patient in a form of a textual and/or graphical message. If checking ranges 1306 yields a positive result, an “end of exercise” check 1310 may be performed, to determine if the last “approved” exercise phase is the last one in the exercise. If yes, the exercise may have ended, and a success feedback 1312 may be displayed to the patient in a form of a textual and/or graphical message. If no, the exercise may have not ended yet, and additional frames may yet have to be converted 1302 to finish the exercise phases sequence.

The present system and method have been described above in connection with a right lunge, pendulum, double leg jump and left leg jump exercises by way of example only. Similarly, the method and system may be used to monitor a variety of other rehabilitative exercises in a similar way.

For a hip flexion exercise, for example, the system may check the execution for the following incorrect performing reasons: side leaning, supporting knee bending, loss of balance (i.e. hand-floor contact), non-adequate hip lifting, exercise short duration, etc.

For a classic squat (on both legs) exercise, for example, the system may check the execution for the following incorrect performing reasons: side leaning, knees turning inwards, asymmetric performance, non-adequate knee bending, loss of balance (i.e. hand-floor contact), exercise short duration, etc.

For a single leg squat exercise, for example, the system may check the execution for the following incorrect performing reasons: side leaning, supporting knee turning inwards, loss of balance (i.e. hand-floor contact), non-adequate knee bending, etc.

For a single leg stance exercise, for example, the system may check the execution for the following incorrect performing reasons: side leaning, supporting knee bending, loss of balance (i.e. hand-floor contact), non-adequate hip lifting, exercise short duration, etc.

Reference is now made to FIG. 14, which shows a block diagram of a personal trainer within the system. The personal trainer may be a software module operatively coupled to hardware elements of the system. A patient's 1400 gestures may be monitored by a kinetic sensor (e.g. Kinect) 1402, which, in turn, may compute a depth image of patient 1400. The depth image may then be transferred to a computing device such as a gaming console 1404, which may compute and translate movements of patient 1400 to pre-determined gestures, postures, and exercises, and display them on display 1406 within a video game. Whenever patient 1400 may perform a certain exercise incorrectly, and/or the system detects an undesired situation of patient 1400, a visual and/or vocal feedback may be displayed on display 1406. By an example herein, a personal trainer FIG. 1408 may appear on display 1406, and feedback patient 1400 of the incorrect exercise by a textual message 1410 and/or a vocal message. Personal trainer FIG. 1408 may also advice patient 1400 of the correct way to perform the exercise, and/or demonstrate it on display 1406. Similarly, a visual and/or vocal positive feedback may be displayed on display 1406 when patient may perform an exercise correctly. The positive feedback may be provided by personal trainer FIG. 1408 expressing textual message 1410 and/or vocal message, and/or by elements inherent in the video game (e.g. scoring points etc.).

In case patient 1400 does not show any attempt to perform multiple (e.g. 3, 4, 5, 6, 7 or more) consecutive exercises, for example, the video game may stop, and a clarification question may be displayed on display 1406.

In case patient 1400 does not demonstrate control of back sway for multiple (e.g. 3, 4, 5, 6, 7 or more) consecutive exercises, for example, the video game may stop, and a brief explanation regarding postural control may be displayed on display 1406. In case patient 1400 performed an identical compensation movement (movements that the patient is doing to “cheat” and make the exercise easier, e.g. moving unnecessary limbs to improve balance, etc.) for multiple (e.g. 3, 4, 5, 6, 7 or more) consecutive exercises, for example, the video game may stop, and a brief explanation regarding the wrong movement and guiding accurate way of performing may be displayed on display 1406.

In any case of discrepancy, the therapy plan may be adapted to the performance of patient 1400 (e.g. requiring less strenuous exercises than the one patient 1400 failed to perform). An adapted exercise may be then displayed to patient 1400 on display 1406, instead or in addition to the messages described above.

Reference is now to FIG. 15, which shows a flowchart of feedback handling. The patient may perform the exercises 1500 as prescribed in his or her therapy plan. The system then may monitor the patient movements and gestures, and in case of detection of discrepancy between performed and required exercise 1502, a feedback may be provided to patient regarding the detected discrepancy 1504. The therapy plan may be adapted if required 1506.

FIG. 16 shows a schematic flow diagram 1600 of a method of creating a user specific therapeutic game. In an exemplary embodiment of the disclosure, the therapist provides a therapy plan 1610, for example via web site 104 to gaming console 108. Optionally, the therapy plan includes a list of exercises and a number of repetitions for the user to execute each exercise as part of the therapy plan. In an exemplary embodiment of the disclosure, a list of past games 1620 performed by the user and optionally, the exercises included in each game are also provided to gaming console 108. In some embodiments of the disclosure, a past performance score 1630 of the user for each exercise or each gesture of each exercise is also provided to gaming console 108.

In an exemplary embodiment of the disclosure, the above information is used to select the type of game 1640 or games for performing an exercise session in which the user performs the exercises required by the therapy plan. Optionally, each game is designed to support specific exercises (each exercise including one or more gestures).

The gaming console 108 is programmed to select a set of one or more games that cover all the exercises required by the therapy plan 1610, so that by playing an exercise session the user will perform all the designated exercises in the therapy plan 1610. Optionally, the selected games may include additional exercises that were not required in the therapy plan to enhance enjoyment from the games, for example a user that needs therapy for his or her feet may also perform hand exercises although they were not part of the therapy plan. In some embodiments of the disclosure, the therapy plan may specify if the user has specific limitations that need to be taken into consideration by gaming console 108 besides the exercises that need to be performed, for example a limit on the work load that the user can perform or if specific limbs are not functional and cannot be included in the game. In an exemplary embodiment of the disclosure, in each game the exercises may be grouped together or mixed with the other exercises that were not required in the therapy plan. Each game may be divided into multiple levels and the exercises may be distributed, so that a portion of the exercises is performed in each level.

In an exemplary embodiment of the disclosure, gaming console 108 also selects a mode 1650 for each selected game. For example a game that is new for the user will be played in a beginner mode in which the user is provided with a full explanation of the game and each exercise. Optionally, in the beginner mode, user monitoring focuses on compliance to the requirements of the game and less on the quality of performing each gesture correctly. Optionally, if the user has already played the specific game in the past, gaming console 108 provides less guidance and requires stricter compliance in performing the exercises.

In some embodiments of the disclosure there are a few mode levels, for example beginner, experienced and veteran. Alternatively, there may be more mode levels for example gaming console 108 may keep a count for each user, the count representing a mode level of familiarity with the games (e.g. how many times the user played the game).

Optionally, in each mode level the gaming console 108 may require different levels of performance, for example in performing a single leg jump:

1. For a beginner user failure to jump or loss of balance may be considered failure;

2. For an experienced user even landing on both legs instead of one leg may also be considered failure; and

3. For a veteran user even bending knees may be considered failure.

In an exemplary embodiment of the disclosure, gaming console 108 also selects a help level 1660 for each exercise. Optionally, help may be provided by providing a written message on the game screen, by providing a verbal message, by providing a visual message (e.g. a video) or a combination thereof. For example a user that was supposed to jump that did not jump may be shown a message (e.g. “Jump not detected”) or receive a verbal message telling the user to jump higher or be shown a video in a corner of the screen or on the entire screen demonstrating the correct performance. The help may be provided during the game or the game may be paused to assure that the user gets the message. Optionally, when creating the game session gaming console 108 may establish a help level for each exercise and/or each gesture of the exercise. In an exemplary embodiment of the disclosure, the help level for each exercise is established based on the past performance of the user for the specific exercise. Optionally, help is triggered when the user fails to perform a specific exercise correctly. In some embodiments of the disclosure, help may be provided after a single failure or only after repetitive failures, for example failing to perform a specific exercise 3 times in a row or 8 times out of 11. Optionally, the help level may be increased if the user's performance for a specific exercise does not improve.

In an exemplary embodiment of the disclosure, gaming console 108 also selects a number of repetitions 1670 for each exercise in each game. Some exercises may only be available in some types of games, whereas some exercises may be available in most games. Optionally, gaming console 108 instructs each game as to what portion of each exercise from the therapy plan will be performed in each game, for example if the therapy plan requires performing straight leg raising 30 times, one game may be activated to perform the exercise 10 times and a second game may be activated to perform the exercise 20 times.

In an exemplary embodiment of the disclosure, gaming console 108 also selects an order 1680 for performing the exercises in each game. In some embodiments of the disclosure, the therapy plan may indicate which exercises should be performed first, to warm up the user's muscles. Alternatively or additionally, the order may be selected based on the performance of the user, for example starting with exercises that were easy for the user and advancing to exercises that were harder for the user. Optionally, the order provides a sequential list defining which exercises are to be performed, the number of times each exercise is performed in a row, the time allocated for performing each exercise and duration of breaks between each exercise. In some embodiments of the disclosure, the exercises in the games or in each level of a game may be arranged randomly to make the game more challenging by surprising the user with an unexpected game.

In some embodiments of the disclosure, web server 104 provides the computation power for performing the above described selections and gaming console 108 executes the games. Alternatively, gaming console 108 may receive the information from web server 104, for example either directly or via database 106, and perform the selections using a processor and memory in the gaming console 108.

FIG. 17 shows a schematic flow diagram of a method 1700 of monitoring a user specific therapeutic game, in accordance with some embodiments. In an exemplary embodiment of the disclosure, during game play gaming console 108 monitors 1710 the user motion. Optionally, gaming console 1720 checks the user motion to verify compliance to the required motion. In an exemplary embodiment of the disclosure, gaming console 108 takes into account the game mode (e.g. beginner, experienced, veteran) and help level. Optionally a score is provided for each gesture of each exercise and a total score for each exercise.

In an exemplary embodiment of the disclosure, gaming console 108 provides feedback 1730 based on the results of checking the motion relative to the correct performance. Optionally, the feedback may be positive or negative, for example if the user reaches a high score by performing the gestures correctly and with the right timing, then the user will receive positive feedback. However if the user receives low scores then the user will receive negative feedback, for example explanations as to how to perform correctly or questions regarding the reasons for the problems the user is having to perform the exercises correctly. Optionally, the feedback may be in the form of a written message, a voice message, a visual pictorial message, a video or combination of the options. The feedback may notify the user of the problem, question the user for the reason and/or illustrate the correct way of performing the exercise.

In an exemplary embodiment of the disclosure, a lower level of feedback includes notifying the user that an exercise was not performed correctly, a higher level includes notifying the user what was wrong with performing the exercise and an even higher level includes teaching the user how to perform an exercise and even higher may be to query the user for the reason of failing to perform correctly. Optionally, the higher or lower level of feedback may be applied to specific exercises depending on the performance of the user.

In some embodiments of the disclosure, a lower level may be to provide feedback as a written message (e.g. a message flashing on the screen), a higher level may be to verbally notify the user (e.g. by a narrator), an even higher level may be to show a picture of what was performed wrong, even higher might be to show the user a video of correct performance of the exercise and even higher might be to query the user for the reason of failing to perform correctly and require the user to select a reason from a list of displayed options.

FIG. 18 shows a schematic diagram of feedback messages for a user when required to perform a specific exercise (e.g. a “Lunge”). Optionally, the feedback may be a message written on the screen, a verbal message spoken by a narrator, a visual message as in FIG. 18, a video showing the exercise/gesture or a combination of the possibilities.

As explained above the level of feedback might depend on the game mode, however during a game the level of feedback may be escalated responsive to the user's performance, for example if the user repeatedly makes the same mistake the level may be increased for the rest of the game or specifically for the problematic exercise. Likewise the level of feedback may be decreased if the user receives high scores repeatedly and the feedback seems unnecessary.

In an exemplary embodiment of the disclosure, the results of the monitoring are used to update the game-play 1740, for example to reduce or increase the number of times the user is required to perform a specific exercise, for example if the user does not manage to perform the specific exercise correctly. In some embodiments of the disclosure, a specific exercise may be canceled from the game and notification may be sent to the therapist. Optionally, the required timing for performing a specific exercise may be increased or decreased to fit the user's needs. The user's score may be updated accordingly.

In some embodiments of the disclosure, gaming console 108 may change the game plan in real-time, for example by canceling exercises, replacing harder exercises with easier ones, lowering the game mode or increasing the help level. Optionally, the entire game may be halted, for example if the user falls over or stops responding.

In an exemplary embodiment of the disclosure, at the end of a game or if the user completely fails to perform specific exercises, gaming console 108 may present the user with a question as to why he failed to perform. The user answers may include:

1. That the exercise is too difficult.

2. That the user does not understand the game.

3. That the user does not understand the exercise.

Optionally, the user's answers may be provided to the therapist to revise the therapy plan or the answers may be provided directly to the gaming console 108 to be considered when preparing a new game for the user, for example when considering the list of past games 1620 or past performance for exercises. In an exemplary embodiment of the disclosure, a new game may include more or less repetitions of specific exercises. In some embodiments of the disclosure, in the new game the user may receive special care (at least for one game), for example by providing the maximum help level and/or monitoring the user's performance in the lowest operation mode (e.g. beginner). In some embodiments of the disclosure, the user will be required to perform a tutorial before being able to start a new game. Optionally, the tutorial may be instead or in addition to playing with special care.

In an exemplary embodiment of the disclosure, if the user falls or performs very poorly relative to previous games then gaming console 108 may halt the game until the user's therapist forms contact with the user and reopens the gaming console 108 for use by the user. Optionally reopening the gaming console 108 is performed on web site 104 by the therapist and a notification is transmitted to gaming console 108.

In an exemplary embodiment of the disclosure, an exercise/gesture tutorial may include:

1. A narrator announcing the name of the exercise/gesture.

2. Explaining how to perform the exercise/gesture and demonstrating the performance on the screen.

3. Testing the user in performing the exercise/gesture a few times, for example 3-10 times while monitoring the user to determine if the user performs the exercise/gesture correctly and providing feedback to the user.

Optionally, a game tutorial may include:

1. A narrator announcing the name of the game.

2. Explaining the objectives of the game (e.g. how to accumulate points and how to win) and how to perform the game optionally with a demonstration on the screen.

3. Testing the user's ability to perform some of the exercises/gestures that occur in the game, for example 3-10 times while monitoring the user to determine if the user performs the exercise/gesture correctly.

In the description and claims of the application, each of the words “comprise” “include” and “have”, and forms thereof, are not necessarily limited to members in a list with which the words may be associated. In addition, where there are inconsistencies between this application and any document incorporated by reference, it is hereby intended that the present application controls.

Claims

1. A method of controlling a user specific rehabilitative video game, the method comprising: monitoring user motion during the game using a motion recognition gaming system; wherein the user is required to perform specific exercises dictated by a game plan;checking compliance of the user motion to an ideal motion for performing the exercises;providing feedback to the user based on the user's performance relative to the ideal motion;updating a level of feedback responsive to the user's performance throughout the game.

2. A method according to claim 1, further comprising changing the game plan responsive to the user's performance throughout the game.

3. A method according to claim 2, wherein changing the game plan includes adding or removing exercises.

4. A method according to claim 2, wherein changing the game plan includes replacing exercises with harder or easier exercises.

5. A method according to claim 2, wherein changing the game plan includes halting the game until receiving authorization from a therapist to continue.

6. A method according to claim 1, wherein said game can be played in multiple modes including a beginner mode that requires less compliance to the ideal motion than an experienced user mode that requires stricter compliance to the ideal motion.

7. A method according to claim 1, wherein the feedback can be positive or negative depending on the user performance.

8. A method according to claim 1, wherein the feedback includes notifying the user of problems in performing the exercises.

9. A method according to claim 1, wherein the feedback includes querying the user about the reason for failure to perform at an expected level.

10. A method according to claim 1, wherein the feedback includes teaching the user how to correctly perform an exercise.

11. A method according to claim 1, wherein the feedback can be provided by the gaming system in any of the following methods: a. a written message displayed to the user;b. a voice message sounded to the user;c. a visual pictorial message displayed to the user;d. a video played to the user; ande. a query presented to the user with a list of options to select from.

12. A method according to claim 1, wherein a lower level of feedback includes notifying the user that an exercise was not performed correctly, a higher level includes notifying the user what was wrong with the user's performance of the exercise and an even higher level includes teaching the user how to perform the exercise.

13. A method according to claim 1, wherein the feedback level for a specific exercise is increased if the user fails in performing the specific exercise multiple times.

14. A method according to claim 1, wherein the feedback level for a specific exercise is decreased if the user receives a high score in performing the specific exercise most of the time.

15. A method according to claim 1, wherein the feedback level for an entire game is increased if the user receives low scores for most of the exercises in the game.

16. A system for controlling a user specific rehabilitative video game, comprising: a processor and memory for executing a gaming program;a motion sensor to detect user motion;a screen to display information for the user;wherein the gaming program is programmed to: monitor user motion during the game using the motion sensor; wherein the user is required to perform specific exercises dictated by a game plan;check compliance of the user motion to an ideal motion for performing the exercises;provide feedback to the user based on the user's performance relative to the ideal motion;update a level of feedback responsive to the user's performance throughout the game.

17. A system according to claim 16, wherein the gaming program is further programmed to change the game plan responsive to the user's performance throughout the game.

18. A method according to claim 17, wherein changing the game plan includes adding or removing exercises.

19. A method according to claim 17, wherein changing the game plan includes replacing exercises with harder or easier exercises.

20. A method according to claim 17, wherein changing the game plan includes halting the game until receiving authorization from a therapist to continue.