Personal care device and rescue-monitoring and religious music playback method
Patent Information
- Application Number
- TW114107202
- Authority / Receiving Office
- TW · TW
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2026-09-01
- Estimated Expiration
- 2045-02-25
AI Technical Summary
Existing fall detection systems for the elderly often generate false alarms due to sensor limitations, lack comprehensive support, and fail to provide timely assistance, especially in remote areas, potentially leading to 'lonely death' scenarios.
A personal care device with multiple detection modules, including fall detection, infrared thermal imaging, and physiological monitoring, coupled with a religious music playback module, to confirm fall events and provide timely assistance and spiritual comfort.
Reduces false alarms and ensures timely medical intervention by confirming fall events through multiple detection methods, providing spiritual comfort to users in critical conditions.
Smart Images
Figure TWG2TA001074032_001 
Figure TWG2TA001074032_002 
Figure TWG2TA001074032_003
Abstract
Description
Personal care devices, rescue monitoring, and methods for playing religious music This case relates to a care device and monitoring method, particularly to a personal care device and a method for monitoring and playing religious music. Currently available fall detection systems for the elderly primarily rely on sensors or image technology to determine fall conditions and send alerts to users. However, due to limitations in sensor performance or detection range, false alarms may occur, reducing user trust. Furthermore, the function of sensors is limited to fall detection and cannot provide further support or comfort at the physiological or psychological level. In addition, elderly people living alone often cannot receive timely assistance after a fall, especially in remote areas, where the situation is even more severe, potentially leading to the tragedy of "lonely death" due to prolonged undiscovered illness. Therefore, in an era of severe population aging, how to balance physical and mental personal care has become a problem that modern people must carefully consider. One embodiment of this invention is a personal care device, including a fall detection module, a fall data processing module, an alarm module, a first infrared thermal imaging detection module, a physiological information processing module, a life detection module, and a religious music playback module. The fall detection module detects one or more types of activity signals related to the user's daily activities in their living environment. The fall data processing module analyzes and processes one or more types of activity signals and generates an initial fall signal when the user falls. The alarm module is coupled to the fall data processing module and triggers a fall confirmation alarm based on the initial fall signal. The first infrared thermal imaging detection module generates a first infrared thermal image signal associated with the user's daily activities. The physiological information processing module is coupled to the first infrared thermal imaging detection module and the fall data processing module, and analyzes the first infrared thermal image signal based on the initial fall signal to generate a vital signs signal for the user. The life detection module is coupled to the physiological information processing module and the alarm module, and analyzes the user's vital signs signal to determine the user's current physiological state. The religious music playback module is coupled to the life detection module. When the life detection module determines that the user's vital signs are not within a safe range, the alarm module triggers an emergency rescue alarm, and the religious music playback module plays religious music in the user's living environment for the user to listen to. Another embodiment of this case is a rescue monitoring and religious music playback method, suitable for execution in a personal care device. The personal care device includes a fall detection module, a fall data processing module, an alarm module, a physiological information processing module, a life detection module, and a religious music playback module. The rescue monitoring and religious music playback method includes: the fall detection module detecting one or more types of activity signals of the user's daily activities in the living environment; the fall data processing module analyzing and processing one or more types of activity signals and generating an initial fall signal when the user falls; the alarm module triggering a fall confirmation alarm based on the initial fall signal; the physiological information processing module receiving the initial fall signal and analyzing the first infrared thermal image signal generated by the first infrared thermal image detection module to generate a vital signs signal of the user; the life detection module analyzing the vital signs signal of the user to determine the user's current physiological state; when the life detection module determines that the user's vital signs are not within a safe range, the alarm module triggers an emergency rescue alarm, and the religious music playback module plays religious music in the user's living environment for the user to listen to. The following description, in conjunction with the accompanying drawings and embodiments, will further illustrate this invention so that those skilled in the art can better understand and implement it. However, the embodiments described are not intended to limit the scope of the invention. Figure 1 is a block diagram of a personal care device. Personal care devices can be fixed locations in a user's living environment, such as the living room, bathroom, kitchen, bedroom, or courtyard, or they can be freely moving electronic devices, such as robots, installed in the living environment. Whether installed in a fixed location or as a freely moving robot, the personal care device described in this case, along with its rescue monitoring and religious music playback methods, can be implemented. Based on medical experience, elderly people who are generally in good health often experience a rapid decline in their physical condition after their first fall, in addition to the injury itself. In other words, a fall is a significant indicator of declining health in the elderly. Therefore, this personal care device monitors the user and detects potential fall scenarios. For example, it can use wide-area or high-resolution infrared thermal imaging to determine if the user's body temperature is within the normal range. If the user's body temperature is outside the normal range, it indicates a possible fall and hypothermia. The device can also use millimeter-wave detection to assess the likelihood of a fall based on the user's movement distance (e.g., significant movement or deviation within milliseconds). Significant movement or deviation indicates a potential fall. Furthermore, the device can use image detection to detect fall scenarios through image feature analysis. By obtaining the user's movement characteristics through image feature analysis, it directly indicates a potential fall. When a fall is suspected, the personal care device will issue a first-stage warning. However, the aforementioned situations may lead to misjudgments. Therefore, this case will, after detecting the possibility of a fall, further utilize small-area or low-resolution infrared thermal imaging to confirm the user's body temperature, or use voiceprint recognition to quickly assess the user's condition in the background, such as whether there are groans or cries. Since small-area or low-resolution infrared thermal imaging can quickly obtain the user's body temperature (without requiring high-precision temperature distribution or range), and voiceprint recognition can quickly compare the meaning of the user's voice, a relatively quick secondary confirmation can be performed, eliminating the possibility of misjudgment. After secondary confirmation, if the user does indeed require assistance, the personal care device will issue a second alert, notifying medical personnel or family members to arrive at the scene quickly to help the user. Furthermore, before confirming the arrival of medical personnel or family members and if the user is nearing death (referring to the assessment mechanism for near-death experiences in medical care), the personal care device in this case will play religious music, so that the user will not feel so lonely or fearful of death at the time of death, peacefully releasing them from suffering and welcoming the next life. The personal care device in this case consists of two detection and alert phases. The first fall detection alert is triggered when the device first detects a fall. To avoid unnecessary false notifications due to misjudgment of the first fall detection alert, the device further confirms the user's condition to determine whether to trigger the second fall detection alert. Details are as follows. As shown in Figure 1, the personal care device includes a fall detection module 110, a storage module 120, a fall data processing module 125, an alarm module 130, a voice output / input module 140, a communication module 150, a first infrared thermal imaging detection module 160, a physiological information processing module 170, a life detection module 180, and a religious music playback module 190. The fall detection module 110 is coupled to the storage module 120 and is used to detect one or more types of activity signals of the user's daily activities in the living environment. The activity signals detected by the fall detection module 110 are stored in the storage module 120, so that the fall data processing module 125 can access the data and analyze the activity signals to detect whether the user has fallen and generate an initial fall signal as the first fall detection warning. The fall data processing module 125 is coupled to the storage module 120, the alarm module 130, the voice input / output module 140, and the physiological information processing module 170. The fall data processing module 125 reads one or more types of activity signals stored in the storage module 120 and analyzes and processes these activity signals to determine the user's current physical or mental state, such as whether a fall has occurred. The types of activity signals are detailed in Figure 2. [First Implementation Example: First Fall Detection Warning] The fall data processing module 125 uses activity signals stored in the storage module 120 to determine if a user has fallen. If the fall data processing module 125 initially determines that the user may have fallen, it generates an initial fall signal. At this time, the alarm module 130 triggers a user fall confirmation alarm based on the initial fall signal. The voice input / output module 140 receives the user's voice signal, and the communication module 150 sends the user's on-site voice signal and the user fall confirmation alarm to an electronic device (not shown) or a remote control center (not shown). After receiving the user fall confirmation alarm, the electronic device or remote control center actively inquires to confirm the user's condition. The monitor's voice signal is played through the communication module 150 and the voice input / output module 140, allowing the monitor to confirm whether the user has actually fallen or experienced another accident. If the user has not fallen, they can use the voice input / output module 140 to communicate with the monitor, reporting that they are alright and reassuring the monitor. If the user has indeed fallen and is still conscious and experiencing pain, they can use the voice input / output module 140 to report their current condition to the monitor and seek assistance. [Second Implementation Example: Second Detection and Warning Phase] The first infrared thermal imaging detection module 160 is coupled to the physiological information processing module 170. The life detection module 180 is coupled to the physiological information processing module 170 and the religious music playback module 190. The first infrared thermal imaging detection module 160 is used to generate a first infrared thermal image signal. The first infrared thermal imaging detection module 160 has a small viewing angle (e.g., less than or equal to 60 degrees) and low resolution (e.g., less than or equal to...). pixels, like , , An infrared thermal imaging sensor (pixels) is used to sense images with a smaller viewing angle or lower resolution. The first infrared thermal imaging signal includes temperature, respiration, and heartbeat or rhythm, and is a signal with a smaller viewing angle or lower resolution. Temperature, respiration, and heartbeat or rhythm can be used to determine the user's physical condition, such as whether the body temperature is within the normal range, whether the respiration is within the normal frequency range, or whether the heartbeat or rhythm is within the normal frequency range. In the first detection and warning phase, the first fall data processing module 125 detects a user's fall and sends an initial fall signal to the physiological information processing module 170. At this point, the second detection and warning phase begins. Upon receiving the initial fall signal, the physiological information processing module 170 is triggered and begins analyzing the first infrared thermal image signal to generate vital signs of the user, such as body temperature, respiration, and heartbeat or rhythm. The physiological information processing module 170 then sends the analyzed vital signs signals to the life detection module 180. The life detection module 180 analyzes the user's vital signs to determine the user's current physiological state, such as the strength of vital signs (whether breathing, pulse, body temperature, etc. are within the range requiring medical or emergency care). The life detection module 180 analyzes the user's real-time physiological state to determine whether the user's vital signs are normal or weak, providing a basis for the alarm module 130 to trigger an emergency rescue alarm. If the life detection module 180 determines that the user's vital signs are weak (e.g., vital signs are not within a safe range), the alarm module 130 will trigger an emergency rescue alarm so that medical personnel and family members can understand the situation and seize the golden rescue opportunity. The religious music playback module 190 is used to play religious music. In this embodiment, if the life detection module 180 determines that the user's vital signs are weak or that they are near death, the religious music playback module 190 will activate the playback of religious music, such as Buddhist scripture music, to provide spiritual comfort to the user before they receive rescue after a fall. The religious music may include Buddhist scriptures, requiems, etc., and can be played according to the user's religious beliefs. Figure 2 is a block diagram of a personal care device according to another embodiment. Compared to Figure 1, the fall detection module 110 in Figure 2 includes at least one of a second infrared thermal imaging detection module 112, a millimeter-wave detection module 114, and an image visual detection module 116. The second infrared thermal imaging detection module 112 generates a second infrared thermal image signal. The second infrared thermal imaging detection module 112 has a wide viewing angle (e.g., greater than 60 degrees) and high resolution (e.g., greater than...). An infrared sensor (pixels) is used to sense images with a wide viewing angle or high resolution. The second infrared thermal imaging signal includes temperature, respiration, and heart rate or heartbeat, and is a signal with a wider viewing angle or higher resolution. Temperature, respiration, and heart rate or heartbeat can be used to determine the user's physical condition, such as whether the body temperature is within the normal range, whether the respiration is within the normal frequency range, or whether the heart rate or heartbeat is within the normal frequency range. Compared to the first infrared thermal imaging detection module 160, the second infrared thermal imaging detection module 112 can detect large-area or high-resolution images, which requires higher image processing resources. The millimeter-wave detection module 114 transmits, receives, and processes millimeter-wave signals to calculate the user's movement distance, which is then used by the fall data processing module 125 to determine whether the user has fallen. The millimeter-wave detection module 114 can be a millimeter-wave radar. The image vision detection module 116 senses images of the user in their living environment. The image vision detection module 116 can be a camera or a module with an independent image processor. The aforementioned types of activity signals include thermal imaging signals, millimeter-wave signals, and color imaging signals. It is worth noting that the signal generated by the second infrared thermal imaging detection module 112 has a larger range or higher resolution than that of the first infrared thermal imaging detection module 160, which may cause the fall data processing module 125 to make a misjudgment in the first fall detection warning. Furthermore, the millimeter-wave detection module 114 calculates distance, which may also cause the fall data processing module 125 to make a misjudgment. The image visual detection module 116 generates color image signals, requiring the fall data processing module 125 to expend significant computational resources, and the detected color images do not necessarily protect user privacy, leaving users with an unpleasant feeling of being monitored. Therefore, the fall detection module 110 may exclude the image visual detection module 116 to protect user privacy. Furthermore, the judgment mechanism regarding the first fall detection alert described above may lead to misjudgment of the user’s behavioral movements due to the mask. Therefore, the personal care device in this case, in order to avoid misjudgment of the first fall detection alert leading to subsequent unnecessary error notification, does not directly determine the user to have a fall accident after triggering the user fall confirmation alarm, but further performs the confirmation of the second fall detection alert. In the second fall detection alert, the first infrared thermal image signal is a small-range or low-resolution thermal image signal. Thermography signals at this time can also be analyzed for the user's temperature, respiration and heartbeat or heart rate, but due to the smaller range or lower resolution, the amount of data is low and a quick judgment can be made whether the user's temperature, respiration, heartbeat or heart rate are normal. For example, in a second fall detection alert, the life detection module 180 determines the current user's poor condition by determining that at least one of the user's temperature, respiration, heartbeat, or heart rate is not within the normal range (this poor condition is mostly caused by the user's fall) and requires assistance from others. In the second fall detection alert, the alarm module 130 triggers an emergency first aid alert, which represents a very urgent situation where the user is limited to a critical situation and requires the medical staff to step up to rescue the user. In this double check mechanism, the judgment results of the personal care device in the second fall detection alert can strengthen the confirmation of the user's status and significantly reduce the problem of misjudgment. Since the personal care device precludes the misjudgment of the first fall detection alert, the embarrassing situation of the user being alive while the religious music playback module 190 plays religious music does not occur. Therefore, in the life detection module 180 confirming that the user's vital signs are not good (e.g., near death or dying) and medical staff are unable to rescue, the religious music playback module 190 activates the playback of religious music so that the user with poor vital signs can help the user calmly meet death at the end of life and guide the soul into the afterlife even if they do not receive immediate medical assistance. 3 is a block diagram of a personal care device of another embodiment. Compared to FIG. 2 , the personal care device of FIG. 3 also includes a sound wave detection module 165 . The acoustic wave detection module 165 is coupled to the physiological information processing module 170 . The acoustic wave detection module 165 is used to detect the user acoustic waves and to align the user acoustic waves with a sample of physiologically abnormal sound waves. Physiological abnormalities sound wave samples can be pre-stored vocal features such as moans, painful wails, and response speech to common falls. By comparing the sound characteristics of the user's sound waves with physiologically abnormal sound wave samples, the sound wave detection module 165 can determine the user's current physical state. The fall detection module 110 is for example, but is not limited to, a processor that can perform fall detection. Storage module 120 is, for example, but not limited to Random Access Memory (RAM), Flash memory (Flash memory), Read Only Memory (ROM), Hard Disk Drive (HDD), Solid State Drive (SSD), optical storage, or a combination of the above components. Fall Data Processing Module 125 For example is, but is not limited to, a processor that can perform fall data analysis. The alarm module 130 is, for example, a loudspeaker and audio playback device or an audio-visual playback device, which may be integrated into one module with the voice output input module 140 . The voice output input module 140 is, for example, a loudspeaker and an audio playback device or an audio-visual playback device. Communication module 150 is, for example, but not limited to supporting Global System for Mobile communication (GSM), Long Term Evolution (LTE), fifth generation network system (fifth generation, 5G) or any subsequent development of a network system, Wireless Fidelity (Wi-Fi), Bluetooth technology, a communication chip or a combination of the above components for a wired network. The sound wave detection module 165 is for example, but is not limited to, a processor that can perform sound wave detection. Physiological information processing modules 170 are for example, but are not limited to, processors that can perform physiological information analysis. The life probe module 180 is for example, but is not limited to, a processor that can perform life probe analysis. Religious music playback modules 190 For example are but not limited to audio players. The fall detection module 110 , the fall data processing module 125 , the acoustic wave detection module 165 and the life detection module 180 may be integrated in the same processor or processor array to perform the functions described above, respectively. The personal care device and the electronic device with which it communicates or the remote control center is equipped with an application which, in conjunction with the application, can perform the rescue monitoring and religious music playback methods in this case. Figure 4 shows the flowchart of the rescue monitoring and religious music playback methods. Rescue monitoring and religious music playback methods can be performed by any of the personal care devices in Figs. Step S10, the fall detection module 110 detects one or more types of activity signals for the living activities of a user in a living living environment. Step S11, storage module 120 stores one or more types of activity signals detected by fall detection module 110. In step S12, the fall data processing module 125 analyzes and processes activity signals to determine the user's current physical or mental condition. In step S13, the fall data processing module 125 determines whether the user's current physical or mental condition is abnormal. If it is abnormal, step S14 is executed; if it is normal, the process returns to step S12. In step S14, the alarm module 130 will trigger a user fall confirmation alarm, the voice output input module 140 will receive the user's on-site voice signal, and the communication module 150 will send the user's on-site voice signal and the user fall confirmation alarm to the electronic device. In step S15, the physiological information processing module 170 receives the initial fall signal and analyzes the first infrared thermal image signal to generate the user's vital signs signal. Step S16: The life detection module 180 analyzes the user's vital signs to determine the user's current physiological state. Step S17: If the user's current physiological state is critical, proceed to step S18; otherwise, it means that the previous step S14 was a misjudgment, and return to step S12 to continue detection. In step S18, due to the user's critical physiological state, the alarm module 130 triggers an emergency rescue alarm, and the religious music playback module 190 plays religious music to provide the user with spiritual comfort before receiving rescue after the fall. In summary, the personal care device and the rescue monitoring and religious music playback method in this case utilize multiple types of sensing modules to perform non-contact detection of the monitored environment. By detecting user falls and physiological states, and through real-time voice dialogue, it can care for and confirm the user's condition. If the user is near death or has just passed away, it can quickly notify medical personnel or family members for emergency assistance. Even if the user cannot receive immediate assistance, they can also obtain spiritual comfort through the playback of religious music. The above description is merely a specific example of this case and does not limit the scope of the patent application in this case. Therefore, all equivalent changes made using the content of this case are similarly included within the scope of this case and are hereby stated. 110: Fall detection module; 112: Second infrared thermal imaging detection module; 114: Millimeter wave detection module; 116: Image visual detection module; 120: Storage module; 125: Fall data processing module; 130: Alarm module; 140: Voice output / input module; 150: Communication module; 160: First infrared thermal imaging detection module; 165: Sound wave detection module; 170: Physiological information processing module; 180: Life detection module; 190: Religious music playback module; S10~S18: Procedures Figure 1 is a block diagram of a personal care device. Figure 2 is a block diagram of a personal care device according to another embodiment. Figure 3 is a block diagram of a personal care device according to another embodiment. Figure 4 is a flowchart of the rescue monitoring and religious music playback method. 110: Fall detection module 120: Storage Module 125: Fall Data Processing Module 130: Alarm Module 140: Voice output / input module 150: Communication Module 160: First Infrared Thermal Imaging Detection Module 170: Physiological Information Processing Module 180: Life Detection Module 190: Religious Music Playback Module
Claims
1. A personal care device, comprising: A fall detection module detects one or more types of activity signals of a user's daily activities in the living environment; A fall data processing module analyzes and processes one or more types of activity signals and determines that a user has fallen, generating a preliminary fall signal; a storage module, coupled to the fall detection module and the fall data processing module, stores the one or more types of activity signals; an alarm module, coupled to the fall data processing module, triggers a user fall confirmation alarm based on the preliminary fall signal; a first infrared thermal imaging detection module generates a first infrared thermal image signal related to the user's daily activities; a physiological information processing module, coupled to the first infrared thermal imaging detection module and the fall data processing module, analyzes the first infrared thermal image signal based on the preliminary fall signal to generate a vital signs signal for the user; a life detection module, coupled to the physiological information processing module and the alarm module, analyzes the user's vital signs signal to determine the user's current physiological state; The system also includes a religious music playback module coupled to the life detection module. If the life detection module determines that the user's vital signs are not within a safe range, the alarm module triggers an emergency rescue alarm, and the religious music playback module plays religious music in the user's living environment for the user to listen to.
2. The personal care device as described in claim 1, further comprising: A sound wave detection module, coupled to the physiological information processing module, detects the user's sound waves and compares the user's sound waves with a physiological abnormality sound wave sample to determine the user's current physical state, and transmits the user's current physical state to the life detection module; wherein the life detection module generates the user's vital signs signal based on at least one of the first infrared thermal image signal and the user's current physical state generated by the sound wave detection module.
3. The personal care device as claimed in claim 1, wherein the fall detection module includes at least one of a second infrared thermal imaging detection module, a millimeter-wave detection module, and an image visual detection module, wherein the second infrared thermal imaging detection module generates a second infrared thermal image signal, the millimeter-wave detection module emits, receives, and processes a millimeter-wave signal to calculate the user's movement distance, and the image visual detection module senses images of the user in their living environment.
4. The personal care device as claimed in claim 3, wherein the first infrared thermal imaging detection module is an infrared thermal imaging sensor with a viewing angle less than or equal to 60 degrees and / or a resolution less than or equal to pixels, and the second infrared thermal imaging detection module is an infrared thermal imaging sensor with a viewing angle greater than 60 degrees and / or a resolution higher than pixels.
5. The personal care device as described in claim 1, further comprising: A voice input / output module is coupled to the fall data processing module and receives the user's voice signal and plays a remote voice signal from an electronic device; And a communication module, coupled to the voice output / input module and used for remote voice communication with the electronic device.
6. A method for rescue monitoring and religious music playback, suitable for execution in a personal care device, the personal care device comprising a fall detection module, a fall data processing module, an alarm module, a physiological information processing module, a life detection module, and a religious music playback module, the method comprising: The fall detection module detects one or more types of activity signals of a user's daily activities in the living environment; The fall data processing module analyzes and processes one or more types of activity signals and determines that a user has fallen, generating a preliminary fall signal. The alarm module triggers a user fall confirmation alarm based on the preliminary fall signal. The physiological information processing module receives the preliminary fall signal and analyzes a first infrared thermal image signal generated by a first infrared thermal imaging detection module to generate a vital signs signal for the user. The life detection module analyzes the vital signs signal for the user to determine the user's current physiological state. When the life detection module determines that the user's vital signs are not within a safe range, the alarm module triggers an emergency first aid alarm, and the religious music playback module plays religious music in the user's living environment for the user to listen to.
7. The rescue monitoring and religious music playback method as described in claim 6, wherein the personal care device includes a sound wave detection module coupled to the physiological information processing module, and wherein the rescue monitoring and religious music playback method includes: The sound wave detection module detects the user's sound waves and compares them with a sample of physiologically abnormal sound waves to determine the user's current physical state, and then transmits the user's current physical state to the life detection module.
8. The rescue monitoring and religious music playback method as described in claim 7, including: The life detection module generates the vital signs signal of the user based on at least one of the first infrared thermal image signal and the user's current physical state generated by the acoustic detection module.
9. The rescue monitoring and religious music playback method as described in claim 6, wherein the personal care device includes a storage module, a voice output / input module, and a communication module, and the rescue monitoring and religious music playback method includes: The storage module stores one or more types of activity signals; the voice input / output module receives the user's voice signal and plays a remote voice signal from an electronic device; and the communication module performs remote voice communication with the electronic device.
10. The rescue monitoring and religious music playback method as described in claim 6, comprising: When the life detection module determines that the user's vital signs are not within a safe range, the alarm module triggers an emergency rescue alarm to an electronic device, which then sends an emergency distress message.