The present disclosure relates to a millimeter wave radar apparatus, and especially relates to a millimeter wave radar apparatus determining a fall posture.
The fall is one of the most common conditions for human body accidents. Especially for the elderly, the fall is very dangerous, ranging from an injury to bones to severely fatal. Currently, there are some apparatuses which can sense or monitor whether the elderly fall, but these apparatuses are inconvenient wearable apparatuses, or are video cameras which cannot allow the elderly to keep their privacy, and the accuracy of these apparatuses to monitor whether they fall is not high.
In order to solve the above-mentioned problems, an object of the present disclosure is to provide a millimeter wave radar apparatus determining a fall posture.
In order to achieve the object of the present disclosure mentioned above, the millimeter wave radar apparatus of the present disclosure is applied to a human body. The millimeter wave radar apparatus includes a microprocessor and a millimeter wave radar. The millimeter wave radar is electrically connected to the microprocessor. Moreover, the millimeter wave radar is configured to transmit a radar wave to the human body. The millimeter wave radar is configured to receive a reflected radar wave reflected from the human body based on the radar wave. The microprocessor is configured to obtain a point cloud information based on the reflected radar wave. The microprocessor is configured to utilize the point cloud information to determine whether the human body is in the fall posture.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor includes a point cloud capturing unit. The point cloud capturing unit is electrically connected to the millimeter wave radar. Moreover, the point cloud capturing unit is configured to obtain the point cloud information based on the reflected radar wave.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor further includes a point cloud classification unit. The point cloud classification unit is electrically connected to the point cloud capturing unit. Moreover, the point cloud capturing unit is configured to transmit the point cloud information to the point cloud classification unit. The point cloud classification unit is configured to classify the point cloud information to obtain a point cloud classification information.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor further includes a point cloud characterization unit. The point cloud characterization unit is electrically connected to the point cloud classification unit. Moreover, the point cloud classification unit is configured to transmit the point cloud classification information to the point cloud characterization unit. The point cloud characterization unit is configured to characterize the point cloud classification information to obtain a point cloud characterization information.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor further includes a point cloud characteristic extracting unit. The point cloud characteristic extracting unit is electrically connected to the point cloud characterization unit. Moreover, the point cloud characterization unit is configured to transmit the point cloud characterization information to the point cloud characteristic extracting unit. The point cloud characteristic extracting unit is configured to obtain a characteristic information based on the point cloud characterization information.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor further includes a characteristic comparing unit. The characteristic comparing unit is electrically connected to the point cloud characteristic extracting unit. Moreover, the point cloud characteristic extracting unit is configured to transmit the characteristic information to the characteristic comparing unit.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the microprocessor further includes a characteristic database unit. The characteristic database unit is electrically connected to the characteristic comparing unit. Moreover, the characteristic database unit is configured to transmit a fall characteristic information to the characteristic comparing unit. The characteristic comparing unit is configured to compare the characteristic information with the fall characteristic information. If the characteristic information matches the fall characteristic information, the characteristic comparing unit is configured to determine that the human body is in the fall posture.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, the millimeter wave radar apparatus further includes a warning unit. The warning unit is electrically connected to the characteristic comparing unit. Moreover, if the characteristic comparing unit determines that the human body is in the fall posture, the characteristic comparing unit is configured to inform the warning unit that the human body is in the fall posture. Moreover, the microprocessor further includes a point cloud reliability checking unit. The point cloud reliability checking unit is electrically connected to the point cloud capturing unit. Moreover, the point cloud reliability checking unit is configured to check the point cloud information. If the point cloud information checked by the point cloud reliability checking unit is correct, the point cloud capturing unit is configured to transmit the point cloud information to the point cloud classification unit.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the warning unit is an output warning apparatus.
Moreover, in an embodiment of the millimeter wave radar apparatus of the present disclosure mentioned above, moreover the warning unit is configured to transmit a warning signal provided to other apparatuses to use.
The advantage of the present disclosure is to conveniently and accurately determine that the human body is in the fall posture, so as to further warn and provide assistance or rescue.
Please refer to the detailed descriptions and figures of the present disclosure mentioned below for further understanding the technology, method and effect of the present disclosure achieving the predetermined purposes. It believes that the purposes, characteristic and features of the present disclosure can be understood deeply and specifically. However, the figures are only for references and descriptions, but the present disclosure is not limited by the figures.
In the present disclosure, numerous specific details are provided, to provide a thorough understanding of embodiments of the disclosure. Persons of ordinary skill in the art will recognize, however, that the present disclosure can be practiced without one or more of the specific details. In other instances, well-known details are not shown or described to avoid obscuring aspects of the present disclosure. Now please refer to the figures for the explanation of the technical content and the detailed description of the present disclosure:
The millimeter wave radar 104 is configured to transmit a radar wave 106 to the human body 20. The millimeter wave radar 104 is configured to receive a reflected radar wave 108 reflected from the human body 20 based on the radar wave 106. The microprocessor 102 is configured to obtain a point cloud information 110 (as shown in
The point cloud capturing unit 112 is configured to obtain the point cloud information 110 based on the reflected radar wave 108. The point cloud reliability checking unit 134 is configured to check the point cloud information 110. If the point cloud information 110 checked by the point cloud reliability checking unit 134 is correct, the point cloud capturing unit 112 is configured to transmit the point cloud information 110 to the point cloud classification unit 114. If the point cloud information 110 checked by the point cloud reliability checking unit 134 is incorrect (for example, a temporary error caused by dust), the incorrect point cloud information 110 will be ignored/omitted. In other words, the point cloud reliability checking unit 134 has a determination mechanism (namely, a determination standard) to determine whether the point cloud information 110 is correct. If the point cloud information 110 passes the determination standard, the point cloud information 110 can be used. If the point cloud information 110 does not achieve the determination standard, the point cloud information 110 needs to be recollected/recaptured.
The point cloud classification unit 114 is configured to classify the point cloud information 110 to obtain a point cloud classification information 116. The point cloud classification unit 114 is configured to transmit the point cloud classification information 116 to the point cloud characterization unit 118. The point cloud characterization unit 118 is configured to characterize the point cloud classification information 116 to obtain a point cloud characterization information 120. The point cloud characterization unit 118 is configured to transmit the point cloud characterization information 120 to the point cloud characteristic extracting unit 122. The point cloud characteristic extracting unit 122 is configured to obtain a characteristic information 124 based on the point cloud characterization information 120.
The point cloud characteristic extracting unit 122 is configured to transmit the characteristic information 124 to the characteristic comparing unit 126. The characteristic database unit 128 is configured to transmit a fall characteristic information 130 to the characteristic comparing unit 126. The characteristic comparing unit 126 is configured to compare the characteristic information 124 with the fall characteristic information 130. If the characteristic information 124 matches the fall characteristic information 130, the characteristic comparing unit 126 is configured to determine that the human body 20 is in the fall posture. If the characteristic comparing unit 126 determines that the human body 20 is in the fall posture, the characteristic comparing unit 126 is configured to inform the warning unit 132 that the human body 20 is in the fall posture, so as to generate the warning sound (if the warning unit 132 is the loudspeaker), or to inform the wireless signal receiver (if the warning unit 132 is the wireless signal transmitter).
The point cloud capturing unit 112, the point cloud classification unit 114, the point cloud characterization unit 118, the point cloud characteristic extracting unit 122, the characteristic comparing unit 126, the characteristic database unit 128 and the point cloud reliability checking unit 134 can be integrated into the microprocessor 102. Namely, the respective works of the above-mentioned units are all performed by the microprocessor 102. Or, the above-mentioned units are respective microprocessors or signal processors or electronic components, so as to perform the respective works of the above-mentioned units.
For example, the point cloud capturing unit 112 is a first microprocessor or a first signal processor; the point cloud classification unit 114 is a second microprocessor or a second signal processor; the point cloud characterization unit 118 is a third microprocessor or a third signal processor; the point cloud characteristic extracting unit 122 is a fourth microprocessor or a fourth signal processor; the characteristic comparing unit 126 is a comparator; the characteristic database unit 128 is a memory which stores a database; the point cloud reliability checking unit 134 is a fifth microprocessor or a fifth signal processor.
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The advantage of the present disclosure is to conveniently and accurately determine that the human body is in the fall posture, so as to further warn and provide assistance or rescue.
Although the present disclosure has been described with reference to the preferred embodiment thereof, it will be understood that the disclosure is not limited to the details thereof. Various substitutions and modifications have been suggested in the foregoing description, and others will occur to those of ordinary skill in the art. Therefore, all such substitutions and modifications are intended to be embraced within the scope of the disclosure as defined in the appended claims.