WO2015102467A1

WO2015102467A1 - Home device control apparatus and control method using wearable device

Info

Publication number: WO2015102467A1
Application number: PCT/KR2015/000101
Authority: WO
Inventors: 구본현
Original assignee: 삼성전자 주식회사
Priority date: 2014-01-06
Filing date: 2015-01-06
Publication date: 2015-07-09

Abstract

The present invention proposes a method for controlling a home device. More specifically, the present invention proposes a method of utilizing a user interface, a method of utilizing a voice, and a method of utilizing a gesture such as a wrist snap utilizing a wearable device.

Description

Apparatus and method for controlling home device using wearable device

The present invention relates to an apparatus and method for controlling a home device using a wearable device.

The home network system refers to a system that enables communication between home devices by connecting home devices installed in a home to a wired or wireless network. An advanced home network system integrates home devices through a home gateway (HGW or H-GW) to connect the Internet to an external public data network, such as an Internet Protocol (IP) network (ie, the Internet). Provide more diverse services linked to In such a home network system, home devices may be controlled according to a user's request to provide various services desired by the user.

Control technology for legacy home appliances (eg, home devices) using a terminal such as a smartphone in a wireless environment exists, but user input to the terminal is required.

Therefore, a technique for controlling the home device using other devices except the terminal is required.

The present invention provides a home device control apparatus and a control method using a wearable device.

The present invention provides an apparatus and method for controlling a home device through a voice and a touch of a user using a wearable device.

The present invention provides a device and a method for controlling a home device in and outside a home using a wearable device.

The terminal according to an embodiment of the present invention, a terminal for controlling a home device using a wearable device wearable on a user's body, the receiving unit for receiving a control signal generated based on the movement of the wearable device from the wearable device ; Determine a sensor value of a corresponding position based on the control signal, determine a probability value based on the sensor value, compare the probability value with a threshold value, and perform a control command to control a home device according to a comparison result It includes a control unit for determining whether or not.

In a method of controlling a terminal according to an embodiment of the present invention, in a method of controlling a home device using a wearable device wearable on a user's body in a terminal, a control signal generated based on a movement of the wearable device from the wearable device Receiving a process; Determining a sensor value based on the control signal; Determining a probability value based on the sensor value; And comparing the probability value with the threshold value and determining whether to perform a control command for controlling the home device according to the comparison result.

A wearable device according to an embodiment of the present invention includes a wearable device that can be worn on a user's body, the wearable device comprising: a motion sensor configured to recognize a movement of the wearable device; And a control unit generating a control signal according to the motion detected by the motion detection sensor and transmitting the control signal to the terminal.

A wearable device control method according to an embodiment of the present invention includes the steps of: controlling a home device in a wearable device wearable on a user's body, including: recognizing a movement of the wearable device; Generating a control signal according to the movement; And transmitting the control signal to the terminal.

The present invention can control a home device using a wearable device.

The present invention can control the home device through the voice input of the wearable device.

The present invention can control the indoor and outdoor home devices through the wearable device.

The present invention can control the indoor and outdoor home devices through the user touch interface of the wearable device.

The present invention enables the control of indoor and outdoor home devices through a wearable device that recognizes a snap.

1 is a simplified structural diagram of a system for home device control according to an embodiment of the present invention;

2 is a detailed structural diagram of a system for home device control according to an exemplary embodiment of the present invention;

3 is a user interface for controlling a home device in a wearable device according to an embodiment of the present invention;

4 is a flowchart illustrating a method of controlling a home device in a wearable device according to a second embodiment of the present disclosure;

5 is a flowchart illustrating an operation procedure of a mode-based user touch interface method according to a first embodiment of the present invention;

6 is a format of a CSRequestGetDeviceStatusList message according to an embodiment of the present invention;

7 is a CSRequestPowerControl message format;

8 is a ParserCSResponseGetDeviceStatusList message format according to an embodiment of the present invention;

9 is a ParserCSNotificationMotionEventDetected message format according to an embodiment of the present invention;

10 is a format of a CSRequestPowerControl-IP Cam Power on message according to an embodiment of the present invention;

11 is a scenario illustrating a gesture recognition based home device control method according to a third embodiment of the present invention;

12 is a system structural diagram according to an embodiment of the present invention;

FIG. 13 is a graph showing acceleration and change values of X, Y, and Z axis sensors of the gyro sensor; FIG.

14 is a diagram illustrating a method for calculating an outlier value according to an embodiment of the present invention;

15 is a diagram illustrating a method for calculating an outlier value table according to an embodiment of the present invention; And

FIG. 16 is a flowchart illustrating an entire process of processing whether a gesture pattern is matched and whether a control command is transmitted through a Bayesian probability calculation algorithm according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this case, it should be noted that like elements are denoted by like reference numerals as much as possible. In addition, detailed descriptions of well-known functions and configurations that may blur the gist of the present invention will be omitted.

Also, the terms or words used in the specification and claims described below should not be construed as being limited to the ordinary or dictionary meanings, and the inventors should use the concept of terms to explain their own invention in the best way. It should be interpreted as meanings and concepts corresponding to the technical idea of the present invention based on the principle that it can be properly defined.

The home device to be described below may be described in combination with the device.

1 is a simplified structural diagram of a system for controlling a home device according to an exemplary embodiment of the present invention.

Referring to FIG. 1, a system for controlling a home device includes a terminal 100, a wrist watch type wearable device (hereinafter referred to as “wearable device” 110), and a legacy home appliance (eg, a home appliance 120). , Home device) 124, home gateway 122 of premises 120, authentication server / device management server, and remote routing management server (hereinafter referred to as "server") 130, etc. Home devices ( 124 is located in the home (or outside) and includes a smart appliance (Security), security devices, lighting devices (Lighting devices), energy devices (Energy devices).

For example, the smart home appliance may be a smart TV, an Internet TV, a general TV, a refrigerator, a washing machine, or a robot cleaner. For example, the security device may be a door lock, a security camera, a security sensor, and the like, the lighting device may be a light emitting diode (LED) lighting device, and the energy device may be a power meter, a power socket, an electrical outlet, a power strip, or the like. This can be Additionally, the home devices may be, for example, personal computers (PCs), IP cameras, Internet phones, wired / wireless phones, mobile phones in the home, and the like.

The home devices 124 may communicate with the home gateway 122 according to a wired or wireless communication method, receive a control command from the home gateway 122, and transmit the requested information corresponding to the control command to the home gateway 122. It may be configured to be able to transmit to). The home gateway 122 includes corresponding communication modules for communicating with the home devices 124 according to a wired or wireless communication scheme. In addition, the home gateway 122 may register and back up the information of the home devices 124, control the operation and state of the home devices 124, and collect and manage necessary information from the home devices 124. have. In particular, the home gateway 122 may be connected to a data network such as the Internet, that is, an IP network, to allow access by another terminal through the Internet, and to transmit a control signal received from the terminal to a corresponding home device.

In the home network system configured as described above, home entertainment services such as Internet TV (IPTV), Smart TV, Video on Demand (VoD) through the Internet, data sharing, Internet telephony (eg, Voice over IP: VoIP) And home automation services such as home data communication services such as video telephony, remote control of home appliances, remote meter reading, crime prevention, and disaster prevention. That is, the home network system connects and controls all types of home devices used in the home / outside home as one network.

Meanwhile, a user may remotely access each home device through a home gateway and a home gateway provided in a home network system using a wireless communication device such as a terminal from the outside. The terminal may be, for example, a personal digital assistant (PDA) having a communication function, a smart phone, a mobile phone, a tablet computer, a laptop, and the like. You can access network systems.

Wearable device 110 according to an embodiment of the present invention means a device that can be worn by the user, one or two are required. The wearable device 110 may mean, for example, a wrist watch type phone, a wrist watch type device, or a health bracelet, but is not limited thereto. The wearable device 110 includes, for example, a Samsung Galaxy Gear, a fit, and the like.

The de facto ZigBee based on the Home Automation Profile can be adopted between the home device and the gateway. The wearable device 110 and the terminal 100 are connected using a Bluetooth (BLE) based protocol (eg, Samsung Accessary Protocol). The terminal 100 is connected to the server 130, through which the home gateway 122 of the home 120 or the home devices 124 can be directly controlled.

The wearable device 110 detects a user's motion and generates a control signal according to the detected motion. The movement includes at least one of a snap, a gesture pattern and a rotation. The control signal refers to a signal for controlling the home device through the wearable device 110 and the terminal 100 or directly controlling the wearable device 110 and the home device. The control signal may be generated in various forms according to the communication method between the wearable device 100 and the terminal. The communication method between the wearable device 100 and the terminal may include, for example, Zigbee, Wi-Fi, Bluetooth, Near-Field Communication (NFC), 2G (Generation) or 3G cellular communication system, 3GPP (3rd Generation Partnership Project), Long Term Evoloution (LTE), World Interoperability for Microwave Access (WiMAX), and the like.

The home devices 124 are connected to the home gateway 122 by wired or wireless communication. The home gateway 122 may connect to a wired network such as the Internet. Meanwhile, the registered terminal 100 may access a wireless network including a radio access network and an operator core network, and may access the home gateway 122 through a wired network. The wireless network may be a 2G (Generation) or 3G cellular communication system, a 3rd Generation Partnership Project (3GPP), a 4G communication system, a long-term evolution (LTE), a world interoperability for microwave access (WiMAX), or the like.

In FIG. 1, the terminal 100 may access the home gateway 122 through the server 130. The server 130 provides an authentication number to the home gateway 122, and stores a manufacturer's unique number of the home gateway. In addition, the server 130 manages to communicate when the authentication number of the terminal and the authentication number of the home gateway match.

2 illustrates a detailed structural diagram of a system for controlling a home device according to an exemplary embodiment of the present invention.

The system for controlling a home device includes a home gateway 122 serving as an in-house gateway, a terminal 100 serving as a delegator between a wristwatch-type device and a home gateway, and a wearable having a structure of a wristwatch-type device. Device 122.

The home device performs a preliminary procedure of connecting to a home network system, for example, the terminal 100 when the home device is initially installed in the home (or outside the home). In this case, the terminal 100 provides device information on the newly purchased home device. And obtain and store user information about a peer ID, a peerGroup ID, a countryCode, and the like.

The device information (device information) for the home device may be, for example, a unique user identifier (UUID), which is a unique ID of the home device, and other types, names, descriptions, and manufacturers. manufacturer, model ID, serialNumber, salesLocation, and versions. In addition, the peerGroup ID indicates a group of home devices registered to the service server using a specific user account, and the countryCode indicates country information where the user of the terminal 100 is located.

The terminal 100 is a device used by a user for checking a state of a home device or controlling the home device. For example, the terminal 100 may be a mobile terminal such as a smart phone or a tablet PC.

The home device 150 is located in the home (or outside the home) and is a device that can be controlled through the control device 160, and includes a home device (Smart Appliance), security devices, lighting devices, Energy devices and the like. For example, the home device may be a TV, an air conditioner, a refrigerator, a washing machine, a robot cleaner, a humidifier, and the like. The security device may be a door lock, a security camera, a closed circuit television (CCTV), a security sensor, and the lighting fixture is an LED. (Light Emitting Diode), a lamp, etc., the energy equipment may be a heating device, a power meter, a power socket, an electrical outlet, a power strip, and the like. Additionally, the home device 150 may include a personal computer (PC), an IP camera, an internet phone, a wired / wireless phone, an electrically controllable curtain, a blind, and the like.

The user may access the service server using an application running on the terminal 100, for example, a smart home app, register the home device information, or circulate or delete the registered home device information. In addition, the control information for the collective control of the home devices can be registered or the registered control information can be circulated or deleted.

3 illustrates a user interface for controlling a home device in a wearable device according to an exemplary embodiment of the present invention.

As shown in FIG. 3, the controllable home device list is loaded on the initial entry screen of the wearable device 110. The home device list of FIG. 3 includes, for example, an LED on / off control 310, a door lock on / off control 320, a plug on / off control 330, a temperature control 340, and the like.

Through the user interface for controlling the home device, it is possible to check the on / off status of each home device. In addition, when the corresponding device is touched by the user interface for controlling the home device, the on / off state is toggled. In addition, as in the case of a thermostat requiring detailed control, when a user selects a corresponding device, the detailed control user interface of the corresponding device can be loaded to control temperature settings.

In the first embodiment of the present invention, as shown in FIG. 3A, a mode-based user touch interface method is supported. According to an embodiment of the present invention, when selecting the "Comming Home Mode," the wearable device 110 may control all or some "ON" states of currently connected (controllable) home devices. In addition, when an out mode (Away Mode or Going Out Mode) is selected as an embodiment of the present invention, the wearable device 110 may control all or some of the home devices to an "OFF" state.

According to the second embodiment of the present invention, a user's voice input may be received and executed as shown in FIG. 3B for executing the corresponding mode, and the execution result of the corresponding mode is the same as the user touch interface method.

4 is a flowchart illustrating a method of controlling a home device in a wearable device according to a second embodiment of the present invention.

The wearable device 110 receives a user voice in step 401. The wearable device 110 converts the user voice received in step 403 into streaming data and transmits the converted streaming data to the terminal 100. In step 405, the terminal 100 transmits an analysis request message of streaming data to the speech recognition analysis server 140. The speech recognition analysis server 140 analyzes / interprets the streaming data and transmits the analysis result of the streaming data to the terminal 100 in step 407. In step 409, the terminal 100 generates a control command message corresponding to the analysis result. For example, if the analysis result is the return mode, the terminal 100 generates a control command message including the return mode. For example, if the analysis result is the outing mode, the terminal 100 generates a control command message including the outing mode.

The terminal 100 transmits the control command message generated in step 411 to the server 130. When the server 130 receives the control command message, the server 130 performs an authentication procedure and then transmits the control command message to the home device through the home gateway in step 413. Then, the home device executes ON / OFF in accordance with the control command message.

5 is a flowchart illustrating an operation procedure of a mode-based user touch interface method according to a first embodiment of the present invention.

The wearable device transmits a CSRequestGetDeviceStatusList message to the terminal in step 501.

6 illustrates a format of a CSRequestGetDeviceStatusList message according to an embodiment of the present invention.

The CSRequestGetDeviceStatusList message is a device list response request message and is a message transmitted from the wearable device to the terminal. For example, the device list response request message includes home device IDs such as LEDs, door locks, smart plugs, and thermostats, and home device IDs of LEDs, door locks, smart plugs, and thermostats are displayed on the user interface.

In step 503, the terminal transmits a ParserCSResponseGetDeviceStatusList message to the wearable device. The CSRequestGetDeviceStatusList message and the ParserCSResponseGetDeviceStatusList message correspond to controllable device list request messages to the terminal and response messages to the request messages, respectively.

The wearable device transmits a CSRequestPowerControl message to the terminal in step 505.

7 illustrates a CSRequestPowerControl message format.

The CSRequestPowerControl message includes power on / off and thermostat settings for individual control of the home device.

First, Power On / Off transmits the ID and power status of the home device to be controlled. As shown in FIG. 7 in the user interface, the ID and power status of the home device to be controlled are displayed.

The thermostat setting not only conveys the ID and power state of the home device to be controlled, but also sets the device power state to, for example, "detailed power control" because detailed power control is required. As shown in Fig. 7, the user interface displays not only the ID and power state of the home device to be controlled, but also that the device power state is set to "detailed power control (e.g., 76 degrees control)".

In step 507, the terminal transmits a ParserCSResponseGetDeviceStatusList message to the wearable device. 8 illustrates a ParserCSResponseGetDeviceStatusList message format according to an embodiment of the present invention.

The ParserCSResponseGetDeviceStatusList message executes the CSRequestGetDeviceStatusList message or the CSRequestPowerControl message, and then informs the wearable device of the status of the connected home device.

For example, if CMD_ID = CMD_VALUE_SEND_DEVICE_STATUS is 3, as shown in FIG. 8, the LED is powered off, the door lock is powered off, the smart plug is powered off, and the thermostat is in a detailed power control state (e.g., To the wearable device).

The CSRequestPowerControl message and the ParserCSResponseGetDeviceStatusList message represent control command (eg ON / OFF, etc.) and status response messages for a specific device.

In step 509, the terminal transmits a ParserCSNotificationMotionEventDetected message to the wearable device.

9 illustrates a ParserCSNotificationMotionEventDetected message format according to an embodiment of the present invention.

Referring to FIG. 9, when a movement is detected, the terminal transmits a still cut (stop cut) of the IP camera to the wearable device.

The wearable device transmits a CSRequestPowerControl-IP Cam Power on message to the terminal in step 511.

10 illustrates a format of a CSRequestPowerControl-IP Cam Power on message according to an embodiment of the present invention.

After confirming the still cut, the wearable device requests the terminal to monitor the IP camera. Upon request, the terminal performs IP camera streaming.

The ParserCSNotificationMotionEventDetected message and the CSRequestPowerControl-IP Cam Power on message indicate an alerting message such as a popup when responding to status information of a specific device.

11 is a scenario illustrating a gesture recognition based home device control method according to a third embodiment of the present invention.

The third embodiment of the present invention proposes a method of controlling a home device by using a gesture such as a wrist snap using a wearable device. At this time, the home device can be controlled using a plurality of wearable devices. That is, in the third embodiment of the present invention, for example, it is possible to receive sensor information by using a wearable device worn on the left wrist and the right wrist.

11 (a) and 11 (b) show a case where two wearable devices are used, and FIGS. 11 (c) and 11 (d) show a case where one wearable device is used.

Fig. 11A shows a case of mode selection, in which snap operation is performed with both hands. The snap action refers to an action of quickly or moving a hand by clicking, snapping, or clicking. Here, the mode selection may be a mode switching through shaking of both hands when selecting two modes, such as a control mode for controlling a home device and a slide mode for controlling page of a slide.

FIG. 11B illustrates dimming control, for example, and performs rotation with both hands. The rotating gesture can control the level of diving. Adjusting the dimming level here means adjusting the light intensity.

FIG. 11C illustrates a case in which a specific home device is selected among home devices.

FIG. 11C may be used when a specific device is selected in the control mode described above, and the selection of a target device to be controlled may be changed by snapping the left wrist. For example, when the type of home device is an LED lamp, a fan, or a TV, the selection of each home device may be sequentially changed in the order of LED → Fan → TV through repetition of snaps.

Fig. 11D shows a case of device control, for example, taking a snap operation with only the left hand. Here, the device control represents, for example, on / off of the LED lamp, on / off of the door lock, on / off of the smart plug, thermostat control, and the like. 11 (d), when the selected home device is an LED light, the dipping (brightness) of the LED may be adjusted using rotation axis values such as X and Y axes of a wrist worn by the wearable device in addition to snaps.

Fig. 11D shows a snap operation with only the right hand. When the target home device is selected, it is possible to control on / off by snap, and in the slide mode, it is possible to control movement to the next slide by snap.

12 is a system structural diagram according to an embodiment of the present invention.

A system for controlling a gesture-based home device according to a third embodiment of the present invention may include at least one home device (hereinafter referred to as a "home device") 1200, a home gateway 1220, a terminal 1240, and a wearable device ( 1260).

In FIG. 12, the communication methods between the home device 1200, the home gateway 1220, the terminal 1240, and the wearable device 1260 are described as 802.15.4, 802.11b / g / n, and 802.15.1, respectively. It is not limited, Various communication methods can be applied.

The wearable device 1260 generates a control signal based on a gesture pattern action, a snap, and a rotation of the user, and transmits the generated control signal to the terminal 1240.

The terminal 1240 receives a control signal from the wearable device 1260, determines whether to execute the control command based on a predetermined threshold value, and transmits the corresponding control command to the home gateway 1220.

As a result of the comparison, the terminal 1240 transmits a control command to the home device when the probability value is greater than or equal to the threshold value and does not perform the control command when the probability value is less than the threshold value.

The home gateway 1220 receives a control command from the terminal 1240, and finally, converts to a network protocol recognized by the home device and transmits a control command for controlling the home device.

The home device 1200 receives the control command and processes and executes it.

The terminal determines whether to specify a threshold value based on the pattern of the gesture, as shown in FIG. 13, using a probability pattern analysis method based on an algorithm for recognizing a gesture, for example, a Bayesian estimation algorithm.

FIG. 13 (a) shows a normal gesture pattern, and FIG. 13 (b) shows acceleration and change values of the X, Y, and Z axis sensors of the gyro sensor.

In Bayesian estimation, an occurrence probability (value) for an event may be estimated based on a previous distribution according to an existing event or an event that does not occur. In particular, Friedman's technique is known to be well utilized for infinite events. Profile the previous internode routing frequency and calculate how likely the current node will be when the routing connection request compares to the previous profile. Through this calculation, any request from a probabilistic low node is considered an abnormal request.

13 is a graph of acceleration sensor data generated during a snap action for gesture input. As shown in FIG. 12B, the sensor change value may be classified into S _T1 , S _T2 , and S _T3 according to time.

The values corresponding to the three fields are extracted and based on this, such as S _T1 (A), S _T2 (B), and S _T3 (C), ABC, ABD, EFH,... The back is defined as a sample value, and the ideal value is calculated by measuring the frequency. The process of calculating the outliers is as follows.

First, C (D, L) is calculated as in Equation 1 below.

C (D, L) represents the scaling factor (ie the number of all observable samples).

P represents the probability value of the standard to be observed.

Equation 1

In Equation 1, N represents the total number of observation samples (number of occurrences of sensor values of AB).

K represents the number of different kinds of events observed (number of AB frequencies in previous training).

Alpha α represents a user defined value.

L represents the total number of observed samples (number of nodes that can occur).

Is estimated based on training data.

X represents the sample to be observed (sensor value-ABC).

Ni represents the frequency of occurrence of a specific event (the frequency of sensor value occurrences from AB → C).

In Equation 1, the P value may be expressed by Equation 2.

Equation 2

14 is a diagram illustrating an abnormal value calculation method according to an exemplary embodiment of the present invention.

A method of calculating an ideal value according to an embodiment of the present invention is as follows. For example, on the sensor data generation graph as shown in FIG. 14, the sensor generation value (or sensor value) A may be displayed as the following sensor generation value graph.

The sensor value of each sample may be, for example, A-B-C, A-E-F, A-B-D, A-B-C, as shown in FIG.

15 is a diagram illustrating a method of calculating an abnormal value table according to an embodiment of the present invention.

The probability of generating a C (S _T3 ) sensor value after generating P (ABC) abnormal values, that is, sensor values of A (S _T1 ) and B (S _T2 ) in the above-described example, is calculated as follows. After dividing the structure of ABC using 2-gram, P value is calculated through Equation 2. The calculated P value is compared with an abnormal value (for example, a threshold value) on an existing profile, and if it is out of the threshold range, it is determined as abnormal.

16 is a flowchart illustrating an entire process of processing whether a gesture pattern matches and whether a control command is transmitted through a Bayesian probability calculation algorithm according to an embodiment of the present invention.

The terminal receives sensor information in step 1600. The sensor information is received from the wearable device using a snap using a wrist of the user. In step 1602, the terminal extracts three fields S _T1 , S _T2 , and S _T3 from the sensor information.

In step 1604, the terminal compares whether a session exists on the profile. Step 1604 can be omitted. If step 1604 is omitted, the terminal calculates a probability value and then proceeds to step 1610.

If the session does not exist, the terminal proceeds to step 1608 to calculate a probability value to occur, and proceeds to step 1610.

However, if there is a session, the terminal proceeds to step 1606 to update the probability value, and compares the updated probability value with the threshold value in step 1608. In step 1610, the terminal checks whether the command is performed or the user interface is performed as a result of the comparison. If it is determined that the command execution / user interface execution (if the probability value is greater than the threshold value), the control command is transmitted in step 1614. However, if it is determined that the command execution / user interface is not performed (if the probability value is less than the threshold value), the terminal does not perform the generation data of the corresponding gesture pattern in step 1616.

In addition, it will be appreciated that the apparatus and control method for a home device using a wearable device according to an embodiment of the present invention may be realized in the form of hardware, software, or a combination of hardware and software. Any such software may be, for example, volatile or nonvolatile storage, such as a storage device such as a ROM, whether or not removable or rewritable, or a memory such as, for example, a RAM, a memory chip, a device or an integrated circuit. Or, for example, CD or DVD, magnetic disk or magnetic tape and the like can be stored in a storage medium that is optically or magnetically recordable and simultaneously readable by a machine (eg computer). The method for controlling a home device using a wearable device according to an embodiment of the present invention may be implemented by a computer or a terminal including a controller and a memory, and the memory includes a program or instructions including implementing the embodiments of the present invention. It will be appreciated that this is an example of a machine-readable storage medium suitable for storing programs.

Accordingly, the present invention includes a program comprising code for implementing the apparatus or method described in any claim herein and a storage medium readable by a machine (such as a computer) storing such a program. In addition, such a program may be transferred electronically through any medium, such as a communication signal transmitted via a wired or wireless connection, and the present invention includes equivalents thereof as appropriate.

In addition, the home device control apparatus using the wearable device according to an embodiment of the present invention may receive and store the program from a program providing apparatus connected by wire or wirelessly. The program providing apparatus includes a memory for storing a program, instructions for causing the program processing apparatus to perform a home device control method using a preset wearable device, information necessary for a home device control method using a wearable device, and the like. It may include a communication unit for performing wired or wireless communication with a graphics processing apparatus, and a control unit for automatically transmitting a request or a corresponding program to the transmission and reception apparatus of the graphics processing apparatus.

Meanwhile, in the detailed description of the present invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the scope of the following claims, but also by the equivalents of the claims.

Claims

In the terminal for controlling the home device using a wearable device wearable on the user body,

A receiver configured to receive a control signal generated based on the movement of the wearable device from the wearable device; And

Determine a sensor value of a corresponding position based on the control signal, determine a probability value based on the sensor value, compare the probability value with a threshold value, and perform a control command to control a home device according to a comparison result Terminal device including a control unit for determining whether or not.
In the wearable device that can be worn on the user's body,

A motion sensor for recognizing a motion of the wearable device; And

And a controller configured to generate a control signal according to the motion detected by the motion detection sensor and to transmit the control signal to the terminal.
The terminal of claim 1 or the wearable device of claim 2,

The movement comprises at least one of a snap, a gesture pattern, and a rotation.
The method of claim 1,

The probability value is characterized by the following equation.

here,
to be.

C (D, L) represents a scaling factor.

P represents the probability value of the standard to be observed.

N represents the total number of observation samples.

K represents the number of different kinds of events observed.

Alpha α represents a user defined value.

L represents the total number of observation samples.

X represents the sample to be observed.

Ni represents the frequency of occurrence of a particular event.

Is estimated based on training data.
The terminal of claim 1 or the wearable device of claim 2,

The control signal is generated based on the voice of the user.
The terminal of claim 1 or the wearable device of claim 2,

The control signal is generated based on the user's touch.
The method of claim 1,

And when the probability is greater than or equal to the threshold, as a result of the comparison, transmitting a control command to a home device.
The method of claim 1,

If the probability value is less than the threshold value, the control command is not performed.
In the method of controlling the home device using a wearable device wearable on the user's body in the terminal,

Receiving a control signal generated based on the movement of the wearable device from the wearable device;

Determining a sensor value based on the control signal;

Determining a probability value based on the sensor value; And

And comparing the probability value with a threshold value and determining whether to perform a control command for controlling a home device according to a comparison result.
In the wearable device wearable on the user's body in a home device control method,

Recognizing a movement of the wearable device;

Generating a control signal according to the movement; And

Transmitting the control signal to a terminal.
The method of claim 9 or the method of claim 10,

The movement comprises at least one of a snap, a gesture pattern, and a rotation.
The method of claim 9,

The probability value is characterized by the following equation.

here,
to be.

C (D, L) represents a scaling factor.

P represents the probability value of the standard to be observed.

N represents the total number of observation samples.

K represents the number of different kinds of events observed.

Alpha α represents a user defined value.

L represents the total number of observation samples.

X represents the sample to be observed.

Ni represents the frequency of occurrence of a particular event.

Is estimated based on training data.
The method of claim 9 or the method of claim 10,

The control signal is characterized in that generated based on the user's voice.
The method of claim 9 or the method of claim 10,

The control signal is characterized in that generated based on the user's touch.