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`US 20100323794Al
`
`c19) United States
`c12) Patent Application Publication
`Su
`
`c10) Pub. No.: US 2010/0323794 Al
`Dec. 23, 2010
`(43) Pub. Date:
`
`(54) SENSOR BASED HUMAN MOTION
`DETECTION GAMING WITH FALSE
`POSITIVE DETECTION
`
`(76)
`
`Inventor:
`
`Yui-Zhang Su, Kaohsiung (TW)
`
`Correspondence Address:
`Yui-Zhang Su
`235 Chung - Ho Box 8-24
`Taipei (TW)
`
`(21) Appl. No.:
`
`12/486,760
`
`(22) Filed:
`
`Jun.18,2009
`
`Mobile device ( 100)
`
`Publication Classification
`
`(51)
`
`Int. Cl.
`(2006.01)
`A63F 9124
`(2006.01)
`G06F 17100
`(52) U.S. Cl. ............................................. 463/36; 463/42
`(57)
`ABSTRACT
`
`A sensor based human motion detection gaming with false
`positive detection uses a single sensor or a combination of
`sensors to measure the physical motions of the player and
`then uses this motion as input in an interactive game. The
`interactive game resides on a mobile host such as a mobile
`phone. The system uses algorithms on the data gathered by
`the sensors to determine the current physical activity being
`performed by the player. Game play progression is then based
`on the physical activity being performed. The system also
`filters data to detect cheating patterns that may be used by a
`player to gain an unfair advantage in a game that uses such a
`system.
`
`Sensor (110}
`
`Microprocessor(120}
`
`Storage (140)
`
`Garne (300)
`
`Executing interface (130)
`
`< > Second main host (200)
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 1
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`

`
`Patent Application Publication
`
`Dec. 23, 2010 Sheet 1 of 5
`
`US 2010/0323794 Al
`
`Mobile device (100)
`
`Sensor (110)
`
`Microprocessor( 120)
`
`Storage (140)
`
`Game (3D0:1
`
`Executing interface (130)
`
`( > Second main host (200
`
`FIG.1
`
`Data (310)
`
`Algorithms (320)
`
`False positive detection
`( 330)
`
`Game(300)
`
`Logical execu!ion (350}
`
`Filtered data (340)
`
`FIG.2
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 2
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`

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`Patent Application Publication
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`Dec. 23, 2010 Sheet 2 of 5
`
`US 2010/0323794 Al
`
`Mobile device (100)
`
`Sensor (110)
`
`~ API (150)
`
`J,
`
`Positioning data (160)
`
`Storage (140)
`
`I Game I <
`
`(300)
`
`FIG.3
`
`Sensor (110)
`
`,
`
`.
`
`- .,.
`
`Mobile device (100)
`
`Microprocessor
`(120)
`
`Storage (140)
`
`I Game
`
`(300)
`
`Executing interface
`(130)
`
`FIG.4
`
`Second main host
`
`~ - (200)
`
`~ "
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 3
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`

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`Patent Application Publication
`
`Dec. 23, 2010 Sheet 3 of 5
`
`US 2010/0323794 Al
`
`Mobile device (100)
`
`Sensor (110)
`
`Microprocessor (120)
`
`(
`
`)
`
`Second main host (200)
`
`Storage (240)
`
`Game
`(300)
`
`Executing interface
`(130)
`
`FIG.5
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 4
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`

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`Patent Application Publication Dec. 23, 2010 Sheet 4 of 5
`
`US 2010/0323794 Al
`
`)
`
`202
`
`FIG.6
`
`FIG.7
`
`201
`
`~200
`
`A
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 5
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`

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`Patent Application Publication Dec. 23, 2010 Sheet 5 of 5
`
`US 2010/0323794 Al
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`Zepp Labs, Inc.
`ZEPP 1015
`Page 6
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`

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`US 2010/0323794 Al
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`Dec. 23, 2010
`
`1
`
`SENSOR BASED HUMAN MOTION
`DETECTION GAMING WITH FALSE
`POSITIVE DETECTION
`
`FIELD OF THE INVENTION
`
`[0001] The present invention relates to a game of interac(cid:173)
`tive entertainment, and particular to a human physical motion
`game that allows players to utilize both indoor and outdoor
`human physical motions such as walking, running etc, and
`use those actions to determine progress within the game. The
`system is made unique by incorporating detection of cheating
`patterns that a player may use to gain an unfair advantage
`within a game that uses such a system.
`
`of evidence studies that can show how players can cheat the
`Wii-F it system by shaking the Wii Remote, and the game will
`show as player who is running. The unreal interactivity is the
`most significant drawback of the games.
`[0006] There are other ways in which a player can put a
`sensor inside a blender, and that will trick the game into
`thinking that the human player is actually running because of
`the range of deviations that may match the physical motion of
`a player. There are systems in the market that have been
`hacked and cheated using the above approach. These kinds of
`cheats and hacks make the game play less reliable and do not
`reward honest players.
`[0007] Additionally, there has been no bridge to create an
`immersive human motion based gaming on mobile devices.
`
`DESCRIPTION OF THE PRIOR ART
`
`SUMMARY OF THE PRESENT INVENTION
`
`[0002] Mobile phones nowadays are complex pieces of
`hardware with many of these devices that allow their users to
`multitask on various fronts. It was not long ago that a camera
`was considered a luxury feature on a mobile phone. Nowa(cid:173)
`days a camera is almost a standard feature on any new mobile
`phone that comes on the market. The same trend seems to be
`going towards micro sensors that are now embedded in these
`phones. Most of today's high end phones come embedded
`with some form of motion sensor or an accelerometer, along
`with geodetic sensors such as a GPS chip. While we certainly
`cannot foresee what other complex sensors maybe built into
`the phones of the future, we are very confident that at the very
`least, a whole range of phones in the immediate future will
`possess the above mentioned sensors. This is because there
`are various possibilities of applications that can be built
`around these sensors, which will be in huge demand by the
`end consumer. Such demand for applications that uses these
`sensors will necessitate the incorporation of such sensors into
`future devices, much like the demand for a camera in a phone.
`[0003]
`In parallel to the above opportunity of sensors in
`mobile devices, a new era of gaming has also emerged with
`the invention of the Nintendo Wii. The Nintendo Wii is a
`unique game console that uses a sensor based controller
`called the Wii Remote. This Wii Remote or Wii-Mote for
`short uses a three axis accelerometer and optical sensor tech(cid:173)
`nology that enables a motion sensing capability. The user or
`player uses this capability to interact and manipulate objects
`on the screen via motion and point and click. In terms of
`hardware technology, the Wii Remote contains the same type
`of sensor hardware that is present in most high end phones
`today.
`[0004] Most video games that exist in the market and try to
`utilize human physical motion are either very expensive or
`still make the use of corded consoles or systems. Systems
`such as the Nintendo Wii have games like the Wii-Fit that
`provide different activities that utilize human physical
`motions. However all games that do so, do not involve any
`outdoor activity and the player still requires to be playing in
`front of a television. In addition the cost of buying a Wii-Fit
`and Nintendo Wii systems costs hundreds of dollars.
`[0005] Besides, the most significant drawbacks of all game
`systems that use human physical motion detection to deter(cid:173)
`mine game play is that their technology does not cover the
`ability of the player to cheat the system by faking physical
`motions. Such systems can be exploited in various ways in
`which the players can trick the sensors and the algorithms to
`think that the player is performing some kind of valid physical
`activity, when in reality, that is not the case. There are plenty
`
`[0008] Accordingly, the present invention provides a sen(cid:173)
`sor based human motion detection game to a mobile phone
`with a sensor used in a gaming console.
`[0009] The present invention uses algorithms which can be
`executed by a device having a lower performance than the
`game console. Besides, the present invention can also correct
`the defects of an existing levering game operated by human
`physical motion.
`[0010] The present invention will not need a specific plat(cid:173)
`form.User can choose a most popular, cheap platform such as
`a mobile phone which can be obtained by most users with a
`lower cost.
`[0011] The invention has been carried out in view of the
`above highlighted issues, and therefore is directed towards
`using such a game system to encourage a new form of com(cid:173)
`pelling and innovative mobile game play, and maintain the
`outdoor physical activity of players who interact with such a
`system.
`[0012] A sensor in the above context is any device which is
`capable of detecting different forms of physical motion of the
`player. A sensor or a range of sensors can be used to measure
`different forms of physical motion(s). The sensor(s) above
`would be part of any mobile device such as a mobile phone
`that contains some form of microcontroller and some form of
`communication interface that can communicate data gathered
`by the sensor(s) in a real time or online operation to a game
`that resides on the mobile device.
`[0013]
`In another embodiment of the above scenario the
`sensor(s) could be a part of any mobile device or phone that
`contains some form of a microcontroller and/or a form of
`microprocessor, which can process the data received by the
`sensors according to pre-determined algorithm to extract a
`quantifiable value or values, which can be utilized to deter(cid:173)
`mine progress within a game. This module would also have
`some form of communication interface that can communicate
`the information and/or data gathered in a real time or online
`operation to a game on the device.
`[0014]
`In yet another embodiment of the above scenarios
`the sensor(s) could be a part of any mobile device or phone
`that further contains a method of storage that can store data
`and/or information, which can then be communicated
`through some form of communication interface in a delayed
`or offiine operation to a game.
`[0015] Another embodiment of the above system can
`involve a mobile phone that does not have the capability of
`recording human physical motion, but can communicate to
`any sensor based device that does have the ability to record
`human physical motion.
`
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`[0016]
`In this scenario there must be a provision in place
`through which the sensor based device can communicate the
`data and/or information gathered by the sensor based device
`to the mobile phone. The provision can be a wired or wireless
`communication interface.
`[0017] A host in the above context is any system such as a
`mobile phone, capable of recording raw data regarding the
`physical motion of the user.
`[0018] The host can also be any un-tethered system that has
`the ability to receive quantifiable human physical motion
`information from the sensors. Finally the host is any system
`on which the game that uses the human physical motion data
`resides.
`[0019] A game in the above context is any game that intends
`to receive and consume the human physical motion data, and
`based on a certain game logic, determines in game progress
`and metes out rewards and incentives.
`[0020] A preferred embodiment of the present invention is
`any commercial mobile phone containing a 3 axis accelerom(cid:173)
`eter embedded in the phones main board. The phone is
`equipped with a microcontroller.
`[0021] The sensor calculates displacement across the X, Y
`and Z axis. The data is transferred to the game that resides on
`the mobile phone via an application programming interface
`or APL The API could be either developed by the manufac(cid:173)
`turer of the mo bile phone, or a third party software developer,
`or built in-house by the developers of the game.
`[0022] Another embodiment experimented in our reduc(cid:173)
`tion to practice uses a GPS sensor to calculate displacement
`and velocity of the subject. The GPS sensor is attached to a
`board equipped with a microcontroller and a communication
`interface, much similar to the system above. A communica(cid:173)
`tion interface that receives the data transmitted by the on
`board sensor is equipped.
`[0023]
`In both of the above contexts the game that resides
`on the un-tethered host is any game that responds to physical
`activity conducted by the player. In its current form we are
`able to identify physical motions such as walking, running,
`jumping and bicycling through our algorithms that work on
`the data gathered by the above mentioned sensor solutions. In
`game progress is determined by how often and how regular
`the player performs physical activity within a day. Physical
`exercise motions of the player can be visualized in real time or
`recorded non real time in the game in the form relevant
`animations, based on the physical exercise being currently
`conducted.
`[0024] For instance, when a player is running equipped
`with the sensor supported phone, the game shows some form
`of virtual avatar running on the display screen of the host. The
`moment the player stops running, so does the avatar. In
`another example of physical motion, when a players rides a
`bike, the game shows a avatar riding a bike and stopping and
`starting as and when the player does so in real life. In game
`rewards in the form of points are handed out on the successful
`completion of the exercise regiment for that day. These points
`can be used to buy various in-game upgrades and unlock
`mini-games and other features that enhance the player's ava(cid:173)
`tar.
`[0025]
`In an extension of the above game, the game can
`contain various mini-games as well which require players to
`perform physical activities in order to complete the mini(cid:173)
`game.
`[0026] The present invention also recognizes social inter(cid:173)
`actions between players to encourage a game based commu-
`
`nity that constantly compares and challenges each other for
`in-game progress and rewards. The current embodiment of
`our reduction to practice allows players to challenge avatars
`of other players through various multi-player challenges.
`[0027] The present invention also allows for the ability to
`gather game data and statistics of the game play, and commu(cid:173)
`nicate that data and/or information to another host. The gath(cid:173)
`ered data and/or information can then be used by the players
`to create visualizations and statistics of their own physical
`activities they have performed while playing the game, and to
`measure those activities up against certain user-defined goals.
`[0028] The present invention fills a critical gap and solves
`the current problems described above. The present invention
`is also cheap and not limited to be played in front of a TV.
`There are no games that utilize mobile devices and their
`sensor capabilities the way our system does. In addition, there
`exists no system that detects cheating patterns among players
`who can exploit such hacks and tricks and make the game less
`reliable. Our system, and games that use our system, provide
`reliable detection and reward honest game play. Our system
`aims to promote an engaging, cheap and cheat free method
`that promotes games that use human physical motions,
`thereby increasing the likelihood of a long term success of
`these games.
`
`BRIEF DESCRIPTION OF THE DRAWINGS
`
`[0029] FIG. 1 is a system diagram of the present invention.
`[0030] FIG. 2 is a schematic view showing an operation of
`a game of the present invention.
`[0031] FIG. 3 is a system diagram showing another
`embodiment of the present invention.
`[0032] FIG. 4 is a system diagram showing one another
`embodiment of the present invention.
`[0033] FIG. 5 is a system diagram showing a yet another
`embodiment of the present invention.
`[0034] FIG. 6 is a schematic view showing a usage of the
`present invention.
`[0035] FIG. 7 is a schematic view showing anotherusage of
`the present invention.
`[0036] FIG. 8 is a schematic view showing one another
`usage of the present invention.
`
`DETAILED DESCRIPTION OF THE INVENTION
`
`[0037]
`In order that those skilled in the art can further
`understand the present invention, a description will be pro(cid:173)
`vided in the following in details. However, these descriptions
`and the appended drawings are only used to cause those
`skilled in the art to understand the objects, features, and
`characteristics of the present invention, but not to be used to
`confine the scope and spirit of the present invention defined in
`the appended claims.
`[0038] Referring to FIG. 1 and FIG. 2, a sensor based
`human motion detection gaming with false positive detection
`according to the present invention fills a vital gap between
`expensive systems that provide compelling game play, but are
`limited to indoor activities and provide no outdoor physical
`exercise, and systems that do not have provisions in place to
`detect cheating patterns by the player thereby giving the
`player and unfair and undeserved advantage.
`[0039] An embodiment of the present invention can be
`applied to a mobile device 100 (or a first host) with sensor of
`a 3 axis accelerometer and a GPS chip such as a latest gen(cid:173)
`eration mo bile phone and the cell phone we are targeting right
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`now, and a watch 500 shown in FIG. 8. The present invention
`includes following components.
`[0040] A sensor 110 consists of a single sensing component
`or a plurality of sensing components capable of sensing
`human physical motions and gathering as data. The sensor
`110 can be one of the following sensors of a thermal sensor,
`electromagnetic sensor, mechanics sensor, chemical sensor,
`optical sensor, acoustics sensor, biological sensor, and a geo(cid:173)
`detic sensor. The sensor serves to detect physical motions of
`a specific target, and the motions are not limited to motions
`such as waking, running, jumping, bicycling and so on.
`[0041] A microprocessor 120 serves to process the data 310
`gathered by the sensor 110 as shown in FIG. 2. The micro(cid:173)
`processor 120 is also responsible for executing game logic
`and any other necessary operations.
`[0042] An executing interface 130 as shown in FIG.1 could
`be a wire or wireless connecting capable of two-way trans(cid:173)
`ferring the calculated data from the microprocessor 120 to a
`game 300 stored in a storage 140 which will be mentioned in
`the following.
`[0043] The storage 140 as shown in FIG. 2 includes the
`game 300. The game 300 according to the present invention is
`defined as a gaming program or hardware with a gaming
`program. The game 300 includes algorithms 320 for calcu(cid:173)
`lating data from physical motions of a player and a false
`positive detection 330. The data 310 will be calculated by
`algorithms 320 through the microprocessor 120, a filtered
`data 340 is generated after extracting the gathered data con(cid:173)
`taining a cheating pattern so that a proper gaming result will
`be presented by a logical execution 350 (also called a gaming
`engine which is software or hardware) of the game 300.
`[0044] The false positive detection is based on unique pat(cid:173)
`terns of the three axis caused by human physical motions.
`According to parameters like times, deviations of the maxi(cid:173)
`mum and minimum values of the quantification of the pat(cid:173)
`terns, a false motion in a certain interval can be detected. Such
`false motions will not be counted in the game especially in a
`match or scoring game.
`[0045] Accordingly, the false positive detection can be car(cid:173)
`ried in three levels. The first level is in a single pre-defined
`time period; to check if the numbers of local minima and
`maxima points reach a threshold.
`[0046] Some people can find a way of orientation to reach
`the above mentioned threshold. The level two detection uses
`a low-pass filter to remove any small oscillations, and then
`calculates the average of all the local maxima and minima.
`[0047] The level three detection is a matching test which
`will sample data in a longer time period, and find the possible
`pattern in it. Then we use the pattern to match the data in this
`period with others similar patterns if they exist. If they exist
`we can detect that pattern as one of cheating and catch it as
`well.
`[0048] Another embodiment of the present invention is
`illustrated in FIGS. 7 and 4, the sensor 110 can be separated
`from the mobile device 100 and can be wear to human body
`such as an arm shown in FIG. 7. The mobile device thus
`becomes a first external main host. A transmitting unit B and
`a receiving unit A responsible for the wire/wireless commu(cid:173)
`nication are needed in such configuration. Referring to FIG.
`7, the transmitting unit B is arranged to the sensor 110 for
`transmitting the gathered data to the mobile device 100
`equipped with a receiving unit A. The first external main host
`which is the mobile device 100 and other components are not
`necessary combined in a whole body.
`
`In the FIGS. 4 and 7, the gaming status can be
`[0049]
`transferred to a second main host 200. The second main host
`200 can be a single host or multiple hosts. The gaming status
`can be displayed on a screen as shown in FIG. 7, or can be
`interacted with far end terminal through Internet 202 or other
`digital network. The game play will be affected by combina(cid:173)
`tion of data from a plurality of players.
`[0050] Moreover, the algorithms 320 of the present inven(cid:173)
`tion is a program based on data of human physical motions for
`detecting physical motions of the player.
`[0051] With reference to FIG. 3, another generalized
`embodiment according to the present invention is illustrated.
`A game 300 for human health is integrated into a modular
`sensor. The modular sensor has an application programming
`interface 150 for process the data sensing by a sensor 110, and
`a storage 140 consists of the game 300 and algorithms 320
`receiving data through the application programming interface
`150.
`[0052] The game 300 will have better performance on data
`integration of sensor 110 through the application program(cid:173)
`ming interface (API) 150. TheAPI 150 can provide position(cid:173)
`ing data 160 on each X, Y, and Z axis and improve a sensing
`to precise motions along the X, Y, and Z axis performed by the
`player.
`[0053] The game for human health is related to at least one
`of the following activities or physical motions like walking,
`running, jumping, or bicycling.
`[0054] The false positive detection 330 is illustrated in
`FIGS. 1and2. The false positive detection 330 serves to filter
`data so that a cheating pattern of human physical motions
`unacceptable by the game is filtered from the game.
`[0055] The false positive detection 330 is capable of differ(cid:173)
`entiating a false motion between a real physical motion. The
`operation of the false positive detection 330 could be mis(cid:173)
`taken for an effective motion under a device without the
`algorithms 320.
`[0056] The API 150 and the storage 140 of the present
`invention can be integrated into a modular sensor, and also a
`sensor 110 for gathering data of human physical motions. A
`mobile device 100 is arranged so that the sensor 110 is sepa(cid:173)
`rated from the modular sensor.
`[0057] The processing includes the follwing step. (a) Quan(cid:173)
`tified data of human physical motions gathered by the sensor
`110 are generated by calculation as set forth in claim 6. (b)
`TheAPI 150 of the game can collect partial quantified data of
`human motion. ( c) The API 150 of the game is capable of
`processing above data. (d) TheAPI 150 of the game can store
`partial quantified data of human motion.
`[0058] Referring to FIG. 5, a generalized embodiment of
`the present invention is illustrated. A sensor 110, micropro(cid:173)
`cessor 120, and an executing interface 130 are arranged in a
`mobile device. Processed results of the microprocessor 120
`are transferred to a second external main host 200 and being
`executed by a game 300 located in a storage 240 of the second
`main host 200 and then shown in a screen 201. Furthermore,
`the results of the microprocessor 120 can be interacted with
`far end terminal through Internet 202 or other digital network
`as shown in FIG. 6. The game play will be affected by com(cid:173)
`bination of data from a plurality of players.
`[0059] The modular sensor of the game for human health is
`capable of: (a) generating quantified data from human motion
`data gathered by the sensor 110 through the algorithms 320;
`(b) collecting partial quantified data of human motion by the
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`interface of the game; ( c) processing the above data by the
`interface; ( d) storing the partial quantified data of human
`motion.
`[0060] The present invention is thus described, it will be
`obvious that the same may be varied in many ways. Such
`variations are not to be regarded as a departure from the spirit
`and scope of the present invention, and all such modifications
`as would be obvious to one skilled in the art are intended to be
`included within the scope of the following claims.
`What is claimed is:
`1. A sensor based human motion detection gaming with
`false positive detection comprising:
`a sensor for gathering data of physical motion of a player;
`a microprocessor for processing the motion data gathered
`by the sensor;
`an executing interface capable of two-way transferring the
`sensed data between the microprocessor and a game
`stored in a storage;
`the storage including the game and algorithms and a false
`positive detection; the storage receiving the data being
`calculated by algorithms through the microprocessor,
`the algorithms extracting the data containing a cheating
`pattern so that a proper gaming result will be presented
`by a logical execution.
`2. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 1, wherein the
`sensor can be one of a thermal sensor, electromagnetic sensor,
`mechanics sensor, chemical sensor, optical sensor, acoustics
`sensor, biological sensor, and a geodetic sensor for sensing
`physical motions of a predetermined target.
`3. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 2, wherein the
`sensor is capable of sensing at least one of the activities of
`walking, running, jumping, or bicycling.
`4. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 1, wherein the
`executing interface, microprocessor, and the storage are
`arranged into a mobile device; the sensor is separating from
`the mobile device so that the sensor can be equipped to other
`location of a human body from the mobile device which is a
`first external main host.
`5. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 4, wherein a
`transmitting unit and a receiving unit for executing one of a
`wire or wireless communication are arranged to the sensor
`and the mobile device individually.
`6. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 2, wherein the
`processed result of the microprocessor is connected to a sec(cid:173)
`ond main host.
`7. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 1, wherein the
`
`algorithms is a program based on data of human physical
`motions for detecting physical motions of the player.
`8. A game for human health integrated into a modular
`sensor, the modular sensor comprising:
`a storage including the game; the game having algorithms;
`the application programming interface receiving data
`from the algorithms.
`9. A game for human health as claimed in claim 8, wherein
`the game is related to at least one of the following activities or
`physical motions like walking, running, jumping, or bicy(cid:173)
`cling.
`10. A game for human health as claimed in claim 8,
`wherein the game includes a false positive detection.
`11. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 10, wherein the
`false positive detection serves to filter data so that a cheating
`pattern of human physical motions unacceptable by the game
`is filtered from the game and a proper result is presented by a
`logical execution of the game.
`12. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 10, wherein the
`false positive detection is capable of differentiating a false
`motion between a real physical motion; the operation of the
`false positive detection could be mistaken for a effective
`motion under a device without the algorithms as set forth in
`claim 7.
`13. A game for human health as claimed in claim 8,
`wherein the application programming interface and the stor(cid:173)
`age is integrated into the modular sensor, and also a sensor for
`gathering data of human physical motions; a mobile device is
`arranged, and the sensor is separated from the modular sen(cid:173)
`sor.
`14. The sensor based human motion detection gaming with
`false positive detection as claimed in claim 1, wherein the
`game play will be affected by combination of physical motion
`data from a plurality of players.
`15. A game for human health as claimed in claim 8,
`wherein the processing of the mobile device with the sensor
`includes the following step; (a) quantified data of human
`physical motions gathered by the sensor 110 are generated by
`calculation as set forth in claim 6; (b) the application pro(cid:173)
`gramming interface of the game will collect partial quantified
`data of human motion; ( c) the application programming inter(cid:173)
`face of the game is capable of processing above data; (d) the
`application programming interface of the game will store
`partial quantified data of human motion.
`16. A game for human health with a modular sensor having
`a sensor and a microprocess as claimed in claim 1 arranged
`into a mobile device; the processed result of the microproces(cid:173)
`sor will be connected to an external second main host.
`
`* * * * *
`
`Zepp Labs, Inc.
`ZEPP 1015
`Page 10