JP2010085100A - Human body sensing device and urinal with the same - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a human body sensing device capable of exactly acquiring the state of human behavior with a small amount of calculation. <P>SOLUTION: The human body sensing device (4) which utilizes a Doppler signal of a propagation wave reflected by a sensing object, includes: a propagation wave transmission part (10) for emitting a propagation wave toward the sensing object; a propagation wave receiving part (12) for receiving the propagation wave reflected by the sensing object; a Doppler signal generation part (14) for generating a Doppler signal based on the emitted propagation wave and the received propagation wave; a Doppler signal analysis part (16) for analysis of the Doppler signal generated by this Doppler signal generation part by using an autoregressive model and calculating a peak frequency and the amplitude of the Doppler signal; and a behavior state determination part (18) for determining the state of the human behavior based on the peak frequency and the amplitude calculated by this Doppler signal analysis part. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a human body detection device, and more particularly, to a human body detection device using a Doppler signal of a propagation wave reflected by a detection object and a urinal provided with the human body detection device.

  Japanese Unexamined Patent Publication No. 9-80150 (Patent Document 1) describes a human body detection device. In this human body detection device, a microwave is emitted to the front of the toilet, the microwave reflected by the object is received, the power spectrum of the Doppler frequency signal is obtained, and the human action is based on the peak value of the power spectrum. The state is being judged.

  Japanese Patent Laying-Open No. 2006-214156 (Patent Document 2) describes a urinal washing device. In this urinal washing apparatus, a frequency filter that allows only a specific frequency band signal to pass is applied to the output signal of the microwave Doppler sensor, and the human behavior state is determined based on the output signal of the frequency filter.

  These human body detection devices using microwaves described in Japanese Patent Application Laid-Open No. 9-80150 and Japanese Patent Application Laid-Open No. 2006-214156 are different from human body detection devices using infrared light that are widely used at present. When applied to a toilet bowl or the like, it is not necessary to provide a window for transmitting infrared rays in the urinal body or the like, so there are few restrictions on the conditions for installing the apparatus, and a urinal with a clean design can be realized.

Japanese Patent Laid-Open No. 9-80150 JP 2006-214156 A

  However, in the human body detection device described in Japanese Patent Application Laid-Open No. 9-80150, since the power spectrum is obtained by performing Fourier transform on the detected Doppler signal, it is impossible to grasp the human action state in time series. There is a problem. That is, in the human body detection apparatus described in Japanese Patent Application Laid-Open No. 9-80150, the power spectrum is obtained by performing fast Fourier transform on 128 pieces of data obtained by sampling the Doppler signal over 0.64 sec at 5 msec intervals. ing. The peak frequency and amplitude information obtained from the power spectrum obtained in this way represents the average value over 0.64 seconds of sampled data, and immediately detects changes in human behavior to be detected. There is a problem that you can not.

  In addition, in the method of obtaining the power spectrum by fast Fourier transform, there is a problem that if the number of data to be sampled is reduced, the resolution of the obtained peak frequency is lowered. In addition, if the sampling interval is shortened and a large amount of data is acquired in a short time and fast Fourier transform is performed, the amount of calculation increases, and the power consumed by the human body detection device increases due to a large amount of calculations. is there.

  On the other hand, the frequency filter used in the device described in JP-A-2006-214156 can be realized by applying a digital filter to the detected Doppler signal. Sampling data is required. Further, there is a problem that it is not possible to sufficiently grasp the behavior of a person to be detected only by obtaining single data in the frequency domain using a single digital filter. That is, the information obtained from a single digital filter cannot identify whether the person to be detected has started walking from a stationary state or whether the person who has been walking is stationary.

  In order to solve this problem, it is conceivable to use a plurality of digital filters by narrowing the frequency range through which the digital filter passes, but in this case, as the number of digital filters increases, the computation of the digital filters A problem arises in that the amount increases and the calculation process cannot keep up.

Accordingly, an object of the present invention is to provide a human body detection device capable of accurately grasping a human behavior state with a small amount of calculation and a urinal provided with the same.
Another object of the present invention is to provide a human body detection device that can immediately detect a change in the behavior of a person to be detected, and a urinal equipped with the human body detection device.

  In order to solve the above-described problem, the present invention is a human body detection device using a Doppler signal of a propagation wave reflected by a detection object, and a propagation wave transmitter that radiates the propagation wave toward the detection object A propagation wave receiver that receives the propagation wave reflected by the object to be detected, a propagation wave radiated by the propagation wave transmitter, and a Doppler signal that generates a Doppler signal based on the propagation wave received by the propagation wave receiver A signal generator, a Doppler signal generated by the Doppler signal generator is analyzed using an autoregressive model, and a Doppler signal analyzer that calculates the peak frequency and amplitude of the Doppler signal is calculated by the Doppler signal analyzer. And an action state determination unit that determines the action state of the person based on the peak frequency and amplitude.

  In the present invention configured as described above, the propagation wave radiated from the propagation wave transmission unit and reflected by the detection target is received by the propagation wave reception unit. The Doppler signal generation unit generates a Doppler signal based on the radiated propagation wave and the received propagation wave. The Doppler signal analysis unit analyzes the Doppler signal using an autoregressive model and calculates the peak frequency and amplitude of the Doppler signal. The behavior state determination unit determines the behavior state of the person based on the calculated peak frequency and amplitude.

  According to the present invention configured as described above, since the Doppler signal is analyzed using the autoregressive model, the peak frequency and amplitude can be calculated and detected based on the Doppler signal with a small number of samples. It is possible to immediately detect a change in the behavior of a person who should be.

In the present invention, preferably, the Doppler signal analysis unit calculates the autoregressive coefficient of the autoregressive model using the particle filter, and calculates the peak frequency and amplitude of the Doppler signal.
According to the present invention configured as described above, since the autoregressive coefficient of the autoregressive model is calculated using the particle filter, the peak frequency and the amplitude can be calculated with a small amount of calculation.

In the present invention, preferably, the behavior state determination unit determines the behavior state of a person based on the fluctuation tendency of the peak frequency of the Doppler signal or the fluctuation tendency of the amplitude of the Doppler signal within a predetermined period.
According to the present invention configured as described above, since the human behavior state is determined based on the fluctuation tendency of the peak frequency or amplitude, it is possible to accurately grasp the human behavior state in time series.

  In addition, the present invention is a human body detection device that uses a Doppler signal of a propagation wave reflected by a detection object, the propagation wave transmitting unit that radiates the propagation wave toward the detection object, and the reflection by the detection object A propagation wave receiving unit that receives the generated propagation wave, a propagation wave radiated by the propagation wave transmitting unit, and a Doppler signal generation unit that generates a Doppler signal based on the propagation wave received by the propagation wave receiving unit, and the Doppler signal Analyzes the Doppler signal generated by the signal generation unit, calculates the Doppler signal peak frequency and amplitude, and the fluctuation tendency of the peak frequency or amplitude calculated by the Doppler signal analysis unit within a predetermined period And an action state determination unit for determining a person's action state based on the above.

  In the present invention configured as described above, the propagation wave radiated from the propagation wave transmission unit and reflected by the detection target is received by the propagation wave reception unit. The Doppler signal generation unit generates a Doppler signal based on the radiated propagation wave and the received propagation wave. The Doppler signal analysis unit calculates the peak frequency and amplitude of the Doppler signal, and the behavioral state determination unit determines the human behavioral state based on the fluctuation tendency of the peak frequency or amplitude within a predetermined period.

  According to the present invention configured as described above, since the human behavior state is determined based on the fluctuation tendency of the peak frequency or amplitude, it is possible to accurately grasp the human behavior state in time series.

In the present invention, preferably, the Doppler signal analysis unit calculates the peak frequency and amplitude of the Doppler signal based on a time-series Doppler signal value of 5 samples or less.
According to the present invention configured as described above, since the peak frequency and amplitude are calculated based on the Doppler signal having a small number of samples, it is possible to immediately detect a change in the behavior of the person to be detected.

  The urinal of the present invention includes a urinal body, an electromagnetic valve for discharging and stopping washing water for washing the urinal body, a human body detection device of the present invention, and a human body detected by the human body detection device. And an electromagnetic valve control unit that opens and closes the electromagnetic valve based on the action state.

According to the human body detection device and the urinal provided with the human body detection device of the present invention, it is possible to accurately grasp the human behavior state with a small amount of calculation.
In addition, according to the human body detection device of the present invention and the urinal provided with the same, it is possible to immediately detect a change in the behavior of the person to be detected.

Next, preferred embodiments of the present invention will be described with reference to the accompanying drawings.
FIG. 1 is a block diagram showing the overall configuration of a urinal according to an embodiment of the present invention.

  As shown in FIG. 1, a urinal 1 according to an embodiment of the present invention discharges a urinal body 2, a human body detection device 4 built in the urinal body 2, and washing water for washing the urinal body 2. And an electromagnetic valve 6 to be stopped, and an electromagnetic valve control unit 8 for controlling the electromagnetic valve 6.

  In the urinal 1 of the present embodiment, when the human body detecting device 4 detects that a person has stopped approaching the urinal body 2 with the addition of urine, the electromagnetic valve control unit 8 sends a signal to the electromagnetic valve 6, The urinal body 2 is pre-cleaned by opening it for a predetermined time. Further, in the urinal 1, when the human body detecting device 4 detects that the person who has added the urinal has left the urinal body 2, the electromagnetic valve control unit 8 sends a signal to the electromagnetic valve 6, which is opened for a predetermined time. The urinal body 2 is then washed afterwards.

The urinal body 2 includes a bowl portion 2a for receiving urine, a spout 2b provided at the upper portion of the bowl portion for discharging the washing water for washing the bowl portion 2a, and for discharging urine and washing water. And a drain port 2c.
The electromagnetic valve 6 is provided in a water supply pipe connected to the water discharge port 2b, and is configured to be opened and closed by a signal sent from the electromagnetic valve control unit 8.

  When the human body detecting device 4 detects "approach of the human body" indicating that the human body has approached the urinal body 2 with a small amount of use and stopped, the electromagnetic valve control unit 8 receives this detection signal for a predetermined time. The electromagnetic valve 6 is opened and pre-cleaning is performed. Further, when the human body detecting device 4 detects that the human body detecting device 4 has moved away from the urinal body 2 by the human body detecting device 4, the electromagnetic valve 6 receives the detection signal for a predetermined time. Is opened and post-cleaning is performed. Specifically, the electromagnetic valve control unit 8 can be configured by a microprocessor, a memory (not shown), and the like.

  The human body detection device 4 is built in the urinal body 2, and is a microwave transmission unit 10 that is a propagation wave transmission unit that radiates a microwave that is a propagation wave toward a human body that is a detection target, and the microwave transmission unit. The microwave receiving unit 12 which is a propagation wave receiving unit that receives the microwaves radiated from 10 and reflected by the human body, the microwaves radiated by the microwave transmitting unit 10 and the microwaves received by the microwave receiving unit 12 And a Doppler signal generation unit 14 for generating a Doppler signal based on the above.

  Furthermore, the human body detection device 4 analyzes the Doppler signal generated by the Doppler signal generation unit 14 using an autoregressive model, calculates the Doppler signal peak frequency and amplitude, and the Doppler signal. And a behavioral state determination unit 18 that determines the approach of the human body and the withdrawal of the human body, which are human behavioral states, based on the peak frequency and amplitude calculated by the analysis unit 16. In the present embodiment, the human body detection device 4 is built in the urinal body 2, but the human body detection device 4 may be disposed outside the urinal body 2.

  The microwave transmission unit 10 is configured to radiate microwaves from the back side of the urinal body 2 toward the human body approaching the urinal 1. Specifically, the microwave transmission part 10 can be comprised by the microwave oscillator which transmits the microwave of a predetermined frequency at a predetermined time interval. The microwaves radiated from the microwave transmission unit 10 pass through the ceramic urinal body 2 and are radiated toward the front of the urinal body 2.

  The microwave receiving unit 12 is configured to receive the microwave radiated from the microwave transmitting unit 10 and reflected by the human body to be detected. The microwave reflected by the human body passes through the urinal body 2 again and is received by the microwave receiving unit 12 disposed on the back side of the urinal body 2. Specifically, the microwave receiving unit 12 can be configured by a microwave receiver.

  The Doppler signal generation unit 14 is configured to generate a Doppler signal by mixing a part of the microwave radiated from the microwave transmission unit 10 and the microwave received by the microwave reception unit 12 with a mixer. ing. The generated Doppler signal is a signal that contains a lot of frequency components according to the moving speed of the human body reflecting the microwave. The frequency is high when the moving speed is high, and the frequency is low when the moving speed is low. Become.

  The Doppler signal analysis unit 16 analyzes the Doppler signal generated by the Doppler signal generation unit 14 using an autoregressive model, and the peak frequency which is the most abundant frequency component in the analyzed Doppler signal and the peak frequency It is configured to calculate the amplitude of the signal. The peak frequency and amplitude of the Doppler signal are associated with the autoregressive coefficient of the autoregressive model, and the value of the autoregressive coefficient is estimated using a particle filter. Details of the arithmetic processing in the Doppler signal analysis unit 16 will be described later.

  Based on the peak frequency and amplitude calculated by the Doppler signal analysis unit 16, the behavioral state determination unit 18 is configured to determine a human behavioral state such as “approach of human body”, “retreat of human body”, and the like. . The behavior state determination unit 18 determines “approach of the human body” and “retreat of the human body” based on the fluctuation tendency of the peak frequency and the amplitude within the predetermined period. Details of the calculation processing in the behavior state determination unit 18 will be described later. Specifically, the Doppler signal generation unit 14, the Doppler signal analysis unit 16, and the behavior state determination unit 18 may be configured by an A / D converter, a memory, a microprocessor, a program for operating the A / D converter, and the like. it can.

Next, processing executed by the Doppler signal analysis unit and the behavior state determination unit according to the embodiment of the present invention will be described with reference to FIGS.
FIG. 2 is a graph illustrating an example of the Doppler signal generated by the Doppler signal generation unit. FIG. 3 is a graph showing an example of the peak frequency and amplitude calculated using the particle filter based on the Doppler signal shown in FIG. FIG. 4 is a graph illustrating an example of sampled Doppler signal values, peak frequency and amplitude values calculated based on the values, and human behavior determined by the behavior state determination unit. FIG. 5 is a graph showing the value of the Doppler signal, the peak frequency and the amplitude, and the determined human behavior, and shows an example of the behavior of the person leaving.

  First, when a person approaches the urinal 1 from a distance and stops in the vicinity of the urinal 1, the Doppler signal generator 14 outputs a Doppler signal as shown in FIG. Note that the horizontal axis in FIG. 2 represents time series, the numerical value on the horizontal axis represents the number of steps for sampling data, and the vertical axis represents the amplitude of the Doppler signal. In FIG. 2, the Doppler signal is sampled at an interval of 1/1024 sec, and the graph of FIG. 2 shows the change of the Doppler signal for a period of about 3 sec. 2 shows data sampled at an interval of 1/1024 sec. However, the number of data actually required for analysis in the Doppler signal analysis unit 16 is significantly smaller than this, and at a coarser interval than in FIG. The Doppler signal can be sampled.

ここで、

は、現時刻におけるドップラ信号の推定値であり、ａ_i（ｔ）は自己回帰係数であり、時刻と共に変化する値である。また、ｘ（ｋ−ｉ）はｉステップ前の時刻における検出されたドップラ信号値であり、ε（ｋ）は観測誤差である。 The Doppler signal analysis unit 16 is configured to model and analyze the Doppler signal shown in FIG. 2 by a second-order non-stationary autoregressive model shown in Equation 1.

here,

Is an estimated value of the Doppler signal at the current time, and a _i (t) is an autoregressive coefficient, which is a value that changes with time. Further, x (k−i) is a detected Doppler signal value at a time before i steps, and ε (k) is an observation error.

Furthermore, the relationship of the following formulas 2 and 3 is established between the two autoregressive coefficients a ₁ (t) and a ₂ (t), the peak frequency ω of the signal, and the amplitude r at the peak frequency. It is known to do.

  The Doppler signal analysis unit 16 uses the particle filter to detect the signal peak frequency ω and the amplitude r at the peak frequency, and detects Doppler signal values x (k) and x (k−1) for three steps. , X (k−2).

  Further, in the present embodiment, the Doppler signal analysis unit 16 calculates the peak frequency ω and the amplitude r based on the three Doppler signal values x (k), x (k−1), and x (k−2). A particle filter is used as a technique for this. The particle filter generates a plurality of combinations of peak frequencies and amplitudes as particles within a range assumed in advance, and sets the particles and Doppler signal values x (k−1) and x (k−2). Use to calculate the Doppler signal estimate at the current time. Next, the plurality of calculated Doppler signal estimated values are compared with the actually measured Doppler signal value x (k) at the current time, and the Doppler signal estimated value closest to the actual Doppler signal value x (k) is determined. The given particle is determined as an estimate of the peak frequency ω and amplitude r.

  Since the amount of calculation required for calculating the peak frequency ω and the amplitude r using the particle filter is relatively small, in this embodiment, after measuring the Doppler signal value at the current time, the next Doppler signal value is measured. In the meantime, the peak frequency ω and the amplitude r can be calculated.

  FIG. 3 shows a graph of peak frequency ω and amplitude r calculated in time series by the particle filter using the autoregressive model in the Doppler signal analysis unit 16 based on the Doppler signal shown in FIG. ing. In the example illustrated in FIG. 3, the values of the peak frequency ω and the amplitude r are estimated in a time series at intervals of about 16 msec with respect to Doppler signal values sampled at intervals of about 16 msec. In the human body detection device 4 in the present embodiment, it is possible to obtain the estimated values of the peak frequency ω and the amplitude r at a sufficiently short time interval without extremely shortening the sampling interval of the Doppler signal as described above ( In the invention described in Patent Document 1, one peak frequency ω and amplitude r are calculated for 128 Doppler signals.) Thereby, it becomes possible to grasp the fluctuation tendency with respect to time of the peak frequency ω and the amplitude r at a practical time interval.

  From the graph of FIG. 3, the peak frequency ω increases gradually when a distant person approaches the urinal 1 (time around 0 to 1000), and the peak frequency decreases when the speed of walking closer to the urinal 1 is reduced. ω decreases (around time 2000 to 2500), and when it stops in front of the urinal 1, the tendency that the peak frequency ω becomes a low value (around time 3000) can be read. In addition, the amplitude r tends to increase as the person reaches the vicinity of the urinal 1 (time around 2000 to 3000).

  Furthermore, the graph shown in FIG. 5 shows an example of a Doppler signal when a person who is stationary near the urinal 1 moves out of the urinal 1 vicinity. As shown in FIG. 5, the temporal transition of the Doppler signal and its peak frequency and amplitude is opposite to that in FIG.

  The behavior state determination unit 18 compares the peak frequency ω and the amplitude r calculated by the Doppler signal analysis unit 16 with a predetermined standard stored in a memory (not shown) so as to determine the human behavior state. It is configured.

  As shown in FIG. 4, in this embodiment, the behavior state determination unit 18 has a peak frequency ω of 1.4 [rad] or more from 5 sampling steps before the current time to the current time from 5 sampling steps before. When the amplitude r is 0.65 or more, and the fluctuation tendency of the peak frequency ω between 5 sampling steps and the current time is negative, the person is close to the urinal 1 Judge that approached. In the example illustrated in FIG. 4, the behavior state determination unit 18 determines that the person's behavior state is “approach” to the vicinity of the urinal at time 2176.

  The fluctuation tendency means a value obtained by dividing the amount of change in peak frequency or amplitude by the period in which the change occurs. For example, the fluctuation tendency of the peak frequency ω at the current time can be calculated by subtracting the peak frequency one sampling step before the peak frequency at the current time and dividing the value by the sampling interval.

  In addition, the behavioral state determination unit 18 has a peak frequency ω of 0.7 [rad] or less at the current time and an amplitude r of 0.75 or more from 5 sampling steps to the current time, and from 5 sampling steps before. When the fluctuation tendency of the peak frequency ω until the current time is negative and the absolute value of the fluctuation tendency of the amplitude r between the five sampling steps and the current time is 0.0025 or less, the person is small. It is determined that it is stationary in the vicinity of the toilet 1, that is, it is added to a small use. In the example illustrated in FIG. 4, the behavior state determination unit 18 determines that the human behavior state is “still” at time 2720.

  Furthermore, as shown in FIG. 5, the behavioral state determination unit 18 has a peak frequency ω of 1.4 [rad] or more between 5 sampling steps and the current time, and is between 5 sampling steps and the current time. When the amplitude r is 0.65 or more and the fluctuation tendency of the peak frequency ω from 5 sampling steps to the current time is positive, it is determined that the person has left the vicinity of the urinal 1. In the example illustrated in FIG. 5, the behavior state determination unit 18 determines that the person's behavior state is “withdrawal” at time 428.

  Next, the operation of the urinal 1 according to the embodiment of the present invention will be described with reference to FIG. FIG. 6 is a flowchart showing processing by the human body detection device 4 in the urinal of the present embodiment.

  First, in step S1 of FIG. 6, when the human body detection device 4 is powered on, the process proceeds to step S2 and enters a standby mode. In this standby mode, the microwave transmission unit 10 radiates microwaves in front of the urinal 1, and the microwave reception unit 12 receives microwaves. The Doppler signal generation unit 14 generates a Doppler signal based on the radiated microwave and the received microwave. Further, the Doppler signal analysis unit 16 analyzes the generated and sampled Doppler signal and sequentially calculates the peak frequency ω and the amplitude r.

  Next, in step S3, it is determined whether or not a person has approached the vicinity of the urinal 1. That is, the behavior state determination unit 18 determines whether or not a person has approached based on the calculated peak frequency ω and amplitude r. The behavior state determination unit 18 determines whether or not the following three conditions (a) to (c) are satisfied. (A) The peak frequency ω between 5 sampling steps and the current time is 1.4 [rad] or more. (B) The amplitude r between 5 sampling steps and the current time is 0.65 or more. (C) The fluctuation tendency of the peak frequency ω between 5 sampling steps and the current time is negative.

  When these three conditions (a) to (c) are satisfied, the behavior state determination unit 18 determines that the person's behavior state is “approach” to the vicinity of the urinal, and the processing is step. Proceed to S4. If the three conditions are not satisfied, the process returns to step S2 and the standby state is maintained.

  In step S4, it is recognized that the action state of the person is “approaching”. Further, in step S5, it is determined whether or not the person approaching the urinal 1 is stationary and starts to use. That is, the behavior state determination unit 18 determines whether or not the following four conditions (d) to (g) are satisfied. (D) The peak frequency ω at the current time is 0.7 [rad] or less. (E) The amplitude r between 5 sampling steps and the current time is 0.75 or more. (F) The fluctuation tendency of the peak frequency ω between 5 sampling steps and the current time is negative. (G) The absolute value of the fluctuation tendency of the amplitude r between 5 sampling steps and the current time is 0.0025 or less.

  When these four conditions (d) to (g) are satisfied, the behavioral state determination unit 18 determines that the person approaching the urinal vicinity has started to use, and the process proceeds to step S6. move on. On the other hand, after the approach state is recognized in step S3, if it is not determined that the person has started to use even after a predetermined time has elapsed, the process returns to step S2 and enters a standby state.

  In step S6, the solenoid valve control unit 8 sends a control signal to the solenoid valve 6 to open the solenoid valve 6 for a predetermined time. Thereby, washing water is discharged from the water outlet 2b of the urinal body 2, and the bowl part 2a is pre-washed.

  Next, in step S <b> 7, it is determined whether or not the person who has started occupancy has left the urinal 1. That is, the behavior state determination unit 18 determines whether or not the following three conditions (h) to (j) are satisfied. (H) The peak frequency ω between 5 sampling steps and the current time is 1.4 [rad] or more. (I) The amplitude r between the 5 sampling steps and the current time is 0.65 or more. (J) The fluctuation tendency of the peak frequency ω between 5 sampling steps and the current time is positive.

  If these three conditions (h) to (j) are satisfied, the behavior state determination unit 18 determines that the person who started the small use has left, and the process proceeds to step S8. On the other hand, when the three conditions are not satisfied, the determination in step S7 is repeated.

  In step S8, the solenoid valve control unit 8 sends a control signal to the solenoid valve 6 to open the solenoid valve 6 for a predetermined time. Thereby, the wash water is discharged from the water outlet 2b of the urinal body 2, and the bowl portion 2a is post-washed.

  As mentioned above, although preferable embodiment of this invention was described, a various change can be added to embodiment mentioned above. In particular, in the above-described embodiment, the human body detection device of the present invention is applied to a urinal, but the human body detection device of the present invention can be applied to various devices such as an automatic faucet and a flush toilet. it can.

  In the above-described embodiment, the Doppler signal analysis unit calculates the peak frequency and amplitude using a second-order autoregressive model. However, a third-order or higher-order autoregressive model is applied to the present invention. Can do. For example, the peak frequency and amplitude can be calculated using a Doppler signal for four samples in a third-order autoregressive model and using a Doppler signal for five samples in a fourth-order autoregressive model.

  Furthermore, in the above-described embodiment, the behavior state determination unit refers to the peak frequency and amplitude from the current time to 5 sampling steps before, but the period for referring to the peak frequency and amplitude can be changed as appropriate. it can.

  In the above-described embodiment, the crisp expression, which is a clear numerical value, is used as the reference of the peak frequency, amplitude, and fluctuation tendency of the behavior state determination unit that determines the human behavior state. Numbers can also be applied.

  Furthermore, in the above-described embodiment, microwaves are used as propagating waves radiated toward the object to be detected. However, electromagnetic waves other than microwaves, laser light, ultrasonic waves, etc. can be measured using the Doppler effect. Any propagating wave can be used.

It is a block diagram which shows the whole structure of the urinal by embodiment of this invention. It is a graph which shows an example of the Doppler signal produced | generated by the Doppler signal production | generation part. It is a graph showing an example of the peak frequency and amplitude calculated using the particle filter based on the Doppler signal shown in FIG. It is a graph which shows the value of a Doppler signal, the value of a peak frequency and an amplitude, and the determined person's action, and shows an example of the action which a person approaches. It is a graph which shows the value of a Doppler signal, the value of a peak frequency and an amplitude, and the action of the determined person, and shows an example of the action that a person leaves. It is a flowchart which shows the process by the human body detection apparatus in the urinal of embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Urinal by embodiment of this invention 2 Urinal body 2a Bowl part 2b Water outlet 2c Drainage port 4 Human body detection apparatus 6 Electromagnetic valve 8 Electromagnetic valve control part 10 Microwave transmission part (propagation wave transmission part)
12 Microwave receiver (propagating wave receiver)
14 Doppler signal generation unit 16 Doppler signal analysis unit 18 Action state determination unit

Claims (6)

A human body detection device using a Doppler signal of a propagating wave reflected by a detection object,
A propagating wave transmitter that radiates a propagating wave toward the object to be detected;
A propagation wave receiver for receiving the propagation wave reflected by the detection object;
A Doppler signal generation unit that generates a Doppler signal based on the propagation wave radiated by the propagation wave transmission unit and the propagation wave received by the propagation wave reception unit;
Analyzing the Doppler signal generated by the Doppler signal generation unit using an autoregressive model, and calculating a Doppler signal peak frequency and amplitude; and
An action state determination unit for determining a person's action state based on the peak frequency and amplitude calculated by the Doppler signal analysis unit;
A human body detection device comprising:   2. The human body detection device according to claim 1, wherein the Doppler signal analysis unit calculates an autoregressive coefficient of the autoregressive model using a particle filter, and calculates a peak frequency and an amplitude of the Doppler signal.   The human body detection device according to claim 1, wherein the behavior state determination unit determines a behavior state of a person based on a fluctuation tendency of a peak frequency of a Doppler signal or a fluctuation tendency of an amplitude of a Doppler signal within a predetermined period. A human body detection device using a Doppler signal of a propagating wave reflected by a detection object,
A propagating wave transmitter that radiates a propagating wave toward the object to be detected;
A propagation wave receiver for receiving the propagation wave reflected by the detection object;
A Doppler signal generation unit that generates a Doppler signal based on the propagation wave radiated by the propagation wave transmission unit and the propagation wave received by the propagation wave reception unit;
Analyzing the Doppler signal generated by the Doppler signal generation unit, and calculating the peak frequency and amplitude of the Doppler signal; and
An action state determination unit for determining a person's action state based on a fluctuation tendency within a predetermined period of the peak frequency or amplitude calculated by the Doppler signal analysis unit;
A human body detection device comprising:   The human body detection device according to claim 4, wherein the Doppler signal analysis unit calculates a peak frequency and an amplitude of the Doppler signal based on a time-series Doppler signal value of 5 samples or less. The urinal body,
A solenoid valve that discharges and stops the washing water for washing the urinal body;
The human body detection device according to any one of claims 1 to 5,
Based on the behavior state of the person detected by this human body detection device, an electromagnetic valve control unit for opening and closing the electromagnetic valve,
A urinal characterized by comprising:

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