Information processing method, information processing device, and information processing program

Abstract

In the present invention, a life assistance device is provided with: a sensing information obtaining unit that obtains sensing information output from a sensor that senses the state of a person; a first estimation processing unit that executes, on the basis of the sensing information, first estimation processing for estimating the substance ingestion state of the person; a second estimation processing unit that executes, on the basis of the sensing information, second estimation processing for estimating the activity state of the person correlated with the substance ingestion state; a life assistance information generation unit that generates life assistance information with respect to the person on the basis of the execution result of the first estimation processing and the execution result of the second estimation processing; and a life assistance information output unit that outputs the generated life assistance information.

Description

[Technical field]

[0001] The present disclosure relates to techniques for managing a person's health. [Background technology]

[0002] In recent years, care management has been introduced as a system to ensure the provision of comprehensive care services according to the mental and physical condition of users, and the ability of users to select services themselves at the field level. Care management is carried out in the following order: intake, assessment, creation of a care plan, holding a service provider meeting, finalizing the care plan, providing services, and monitoring and evaluation.

[0003] Multiple assessment items are set for each support content provided to the user. Care managers who are engaged in care management assess multiple assessment items when deciding on support content. However, there is not always information available for each assessment item. For example, a support content to help users stay hydrated on a daily basis includes an assessment item that evaluates whether or not the user is taking in the necessary amount of fluid. In order to evaluate this assessment item, it is necessary to monitor how much fluid the user is taking in on a daily basis, but it is difficult to monitor the user's fluid intake at home, especially when the user lives alone.

[0004] For example, an information processing device shown in Patent Document 1 acquires behavioral history information including time information of behaviors performed by a user and information indicating the behavior content, and estimates a daily inactivity level indicating the degree of inactivity in the user's life based on the behavioral history information. When the information processing device determines that the daily inactivity level is problematic, it extracts information on behaviors that are likely to be performed by the user as suggested candidates from the daily behavior information including information on behaviors that the user may perform based on the behavioral history information. The information processing device selects, from the suggested candidates, an behavior that is likely to be performed by the user at the time of proposal as a suggested behavior that is an behavior to be proposed. The information processing device generates a proposal message proposing the proposed behavior to the user, and presents the proposal message to the user.

[0005] However, with the above-mentioned conventional techniques, it is difficult to fully support a person's daily life, and further improvements are required. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2015-49825 A Summary of the Invention

[0007] The present disclosure has been made to solve the above problems, and aims to provide a technology that can fully support a person's daily life.

[0008] An information processing method according to one embodiment of the present disclosure includes a computer acquiring sensing information output from a sensor that senses a person's condition, executing a first estimation process to estimate the person's substance intake condition based on the sensing information, executing a second estimation process to estimate the person's activity condition that is correlated with the substance intake condition based on the sensing information, generating life support information for the person based on a result of execution of the first estimation process and a result of execution of the second estimation process, and outputting the generated life support information.

[0009] According to the present disclosure, it is possible to fully support a person's daily life. [Brief description of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of a life assistance system according to a first embodiment of the present disclosure. [Diagram 2] 4 is a flowchart for explaining a life assistance process in the life assistance device according to the first embodiment of the present disclosure. [Diagram 3] 11 is a flowchart for explaining a life support information generation process in the first embodiment. [Figure 4] 11 is a flowchart for explaining a life support information generation process in the second embodiment. [Diagram 5] 13 is a flowchart for explaining a life support information generation process in the third embodiment. [Figure 6] 13 is a flowchart for explaining a life support information generation process in a modified example of the third embodiment. [Figure 7] 13 is a flowchart for explaining a life support information generation process in the fourth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] (Findings on which this disclosure is based) In the above-mentioned conventional information processing device, when it is determined that there is a problem with the estimated sedentary lifestyle, a suggested action is selected, which is an action to be suggested, and a suggested message is presented to the user, suggesting the suggested action to a care manager, a family member, a care service provider, or the user himself / herself. On the other hand, in the conventional information processing device, when it is determined that there is no problem with the sedentary lifestyle, a suggested message is not presented to the user. In addition, in the conventional information processing device, the user's behavioral content is estimated based on the amount of exercise information and the location information, but the user's substance intake state and the user's activity state that is correlated with the substance intake state are not estimated. Therefore, it is difficult to fully support the user's life.

[0012] In order to solve the above problems, an information processing method according to one embodiment of the present disclosure includes a computer acquiring sensing information output from a sensor that senses a person's condition, executing a first estimation process to estimate the person's substance intake condition based on the sensing information, executing a second estimation process to estimate the person's activity condition that is correlated with the substance intake condition based on the sensing information, generating life support information for the person based on a result of executing the first estimation process and a result of executing the second estimation process, and outputting the generated life support information.

[0013] For example, there is a correlation between the amount of water intake taken into the human body and the amount of urine excreted from the human body, and if the balance between the amount of water intake and the amount of urine is disrupted, there is a risk of dehydration. However, with the above configuration, life support information for a person is generated based on the estimated result of the person's substance intake state and the estimated result of the person's activity state, which is correlated with the substance intake state, so that the person's life can be fully supported.

[0014] In addition, in the above information processing method, in executing the first estimation process, a fluid intake status of the person is estimated, and in executing the second estimation process, an excretion status of the person is estimated, and in generating the life support information, the life support information may be generated based on a balance between the fluid intake status and the excretion status.

[0015] According to this configuration, a person's fluid intake state and excretion state are estimated, and life support information is generated based on the balance between the fluid intake state and the excretion state, thereby enabling the person to be supported in taking in appropriate fluids.

[0016] In addition, in the above information processing method, the fluid intake status includes the person's amount of fluid intake in a specified period of time, and the excretion status includes the person's amount of urine output in the specified period of time, and in generating the life support information, the fluid intake amount and the amount of urine output in the specified period of time are compared, and if the fluid intake amount is less than the amount of urine output, the life support information indicating that the necessary amount of fluid is not being taken in may be generated.

[0017] According to this configuration, when a person's fluid intake is less than the amount of urine, life support information is generated indicating that the person is not taking in the necessary amount of fluid, so that the person's life can be improved so that the person takes in the necessary amount of fluid.

[0018] In addition, in the above information processing method, in executing the first estimation process, a nutritional intake state of the person is estimated, and in executing the second estimation process, a nutritional consumption state of the person is estimated, and in generating the life support information, the life support information may be generated based on a balance between the nutritional intake state and the nutritional consumption state.

[0019] According to this configuration, a person's nutritional intake state and a person's nutritional consumption state are estimated, and life support information is generated based on the balance between the nutritional intake state and the nutritional consumption state, thereby enabling the person to be supported in taking in appropriate nutrition.

[0020] Furthermore, in the above information processing method, the nutritional intake state includes the person's energy intake in a specified period of time, and the nutritional consumption state includes the person's energy consumption in the specified period of time, and in generating the life support information, the energy intake and energy consumption in the specified period of time are compared, and if the energy intake is less than the energy consumption, the life support information is generated indicating that the person is not eating enough, and if the energy intake is more than the energy consumption, the life support information is generated indicating that the person is not exercising enough.

[0021] According to this configuration, when the energy intake is less than the energy expenditure, life support information is generated indicating that the person's food intake is insufficient, so that the person's life can be improved to take in the necessary energy. Also, when the energy intake is more than the energy expenditure, life support information is generated indicating that the person's exercise amount is insufficient, so that the person's life can be improved to consume the necessary energy.

[0022] In addition, in the above information processing method, in executing the first estimation process, a medication intake status of the person is estimated, and in executing the second estimation process, an excretion status of the person is estimated, and in generating the life support information, the life support information may be generated based on the medication intake status and the excretion status.

[0023] With this configuration, a person's medication intake status and excretion status are estimated, and life support information is generated based on the medication intake status and excretion status, thereby making it possible to support the person in taking appropriate medication.

[0024] Furthermore, in the above information processing method, the drug intake status includes the type, amount, and date and time of taking the drug taken by the person, and the excretion status includes the characteristics, amount, and excretion date and time of the stool excreted by the person, and in generating the life support information, if it is determined that the characteristics of the stool excreted as a result of taking an estimated type of drug are not the same as the estimated characteristics of the stool, if it is determined that the amount of stool excreted as a result of taking an estimated type of drug is not the same as the estimated amount of the stool, or if it is determined that the stool has not been excreted within a predetermined time from the date and time the estimated type of drug was taken, the life support information is generated to encourage the person to consult a doctor regarding medication, and the life support information may include the estimated type, amount, date and time of taking the drug, the characteristics of the stool, the amount excreted, and the date and time of excretion.

[0025] According to this configuration, if it is determined that the characteristics of the stool excreted by taking the estimated type of medicine are not the same as the estimated characteristics of the stool, if it is determined that the amount of stool excreted by taking the estimated type of medicine is not the same as the estimated amount of stool, or if it is determined that stool has not been excreted within a specified time from the date and time the estimated type of medicine was taken, life support information is generated that encourages the person to consult a doctor regarding the medication, thereby encouraging the person to consult a doctor regarding the medication.

[0026] Furthermore, in the above information processing method, the medication intake status includes the type, amount, and date and time of medication taken by the person, and the excretion status includes the date and time and frequency of urine excreted by the person, and in generating the life support information, if it is determined that the urine has not been excreted within a predetermined time from the date and time when the estimated type of medication was taken, or if it is determined that the estimated frequency of urine excretion is higher than a predetermined frequency from the date and time when the estimated type of medication was taken, the life support information is generated to encourage the person to consult a doctor regarding medication, and the life support information may include the estimated type, amount, date and time of medication, and the date and time of urine excretion and frequency.

[0027] According to this configuration, if it is determined from the date and time when the estimated type of medicine was taken that urine has not been excreted within a specified time, or if it is determined from the date and time when the estimated type of medicine was taken that the estimated urinary excretion frequency is higher than a specified frequency, life support information is generated that encourages the person to consult a doctor regarding the medication, thereby encouraging the person to consult a doctor regarding the medication.

[0028] In addition, in the above information processing method, in executing the first estimation process, a medication intake state of the person is estimated, and in executing the second estimation process, a sleep state of the person is estimated, and in generating the life support information, the life support information may be generated based on the medication intake state and the sleep state.

[0029] With this configuration, a person's medication intake state and the person's sleep state are estimated, and life support information is generated based on the medication intake state and the sleep state, thereby making it possible to support the person in taking appropriate medication.

[0030] Furthermore, in the above information processing method, the medication intake state includes the type, amount, and date and time of medication taken by the person, the sleep state includes the person's sleeping time, and in generating the life support information, if the type of medication taken by the person is a sleeping pill, it is determined whether the sleeping time is shorter than a predetermined time, and if it is determined that the sleeping time is shorter than the predetermined time, the life support information is generated to encourage the person to consult a doctor regarding medication, and the life support information may include the estimated type, amount, date and time of medication taken, and the sleeping time.

[0031] According to this configuration, if it is determined that the type of medicine taken by a person is a sleeping pill and the person's sleeping time is shorter than a predetermined time, life support information is generated that encourages the person to consult a doctor about the person's medication, thereby encouraging the person to consult a doctor about the person's medication.

[0032] An information processing device according to another aspect of the present disclosure includes an acquisition unit that acquires sensing information output from a sensor that senses a person's state, a first estimation process execution unit that executes a first estimation process to estimate the person's substance intake state based on the sensing information, a second estimation process execution unit that executes a second estimation process to estimate the person's activity state that is correlated with the substance intake state based on the sensing information, a generation unit that generates life support information for the person based on a result of execution of the first estimation process and a result of execution of the second estimation process, and an output unit that outputs the generated life support information.

[0033] For example, there is a correlation between the amount of water intake taken into the human body and the amount of urine excreted from the human body, and if the balance between the amount of water intake and the amount of urine is disrupted, there is a risk of dehydration. However, with the above configuration, life support information for a person is generated based on the estimated result of the person's substance intake state and the estimated result of the person's activity state, which is correlated with the substance intake state, so that the person's life can be fully supported.

[0034] An information processing program according to another aspect of the present disclosure causes a computer to function as follows: acquire sensing information output from a sensor that senses a person's condition; execute a first estimation process to estimate the person's substance intake condition based on the sensing information; execute a second estimation process to estimate the person's activity condition that is correlated with the substance intake condition based on the sensing information; generate life support information for the person based on a result of execution of the first estimation process and a result of execution of the second estimation process; and output the generated life support information.

[0035] For example, there is a correlation between the amount of water intake taken into the human body and the amount of urine excreted from the human body, and if the balance between the amount of water intake and the amount of urine is disrupted, there is a risk of dehydration. However, with the above configuration, life support information for a person is generated based on the estimated result of the person's substance intake state and the estimated result of the person's activity state, which is correlated with the substance intake state, so that the person's life can be fully supported.

[0036] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. Note that the following embodiments are examples of the present disclosure and do not limit the technical scope of the present disclosure.

[0037] (Embodiment 1) FIG. 1 is a block diagram showing a configuration of a life assistance system according to the first embodiment of the present disclosure.

[0038] The life assistance system shown in FIG. 1 includes a sensor 1, a life assistance device 2, and an information terminal 3.

[0039] The sensor 1 senses the state of a person and transmits sensing information to the life assistance device 2.

[0040] The sensor 1 includes, for example, a sensor provided in a cup used by a person, which measures the amount of beverage poured into the cup as the person's water intake. The sensor 1 transmits sensing information indicating the person's water intake to the life assistance device 2. The sensor 1 transmits the sensing information to the life assistance device 2 at the timing when the water intake is measured.

[0041] The sensor 1 includes a sensor that is provided in, for example, a toilet bowl and measures the concentration of an ammonia component in the space in the toilet bowl. The sensor 1 transmits sensing information indicating the concentration of the ammonia component in the space in the toilet bowl to the life support device 2. The sensor 1 transmits the sensing information to the life support device 2 at the timing when the concentration of the ammonia component in the space in the toilet bowl is measured.

[0042] Furthermore, the sensor 1 may include an input device that receives, for example, an input from the person that the person has ingested water. When the person has ingested water, the person presses a button provided on the input device. When the button is pressed, the input device may transmit sensing information indicating that the person has ingested water to the life assistance device 2. The input device may receive an input of the amount of water intake by the person, and transmit sensing information indicating the amount of water intake to the life assistance device 2.

[0043] The life support device 2 is, for example, a server. The life support device 2 is connected to the sensor 1 via a network 4 so that they can communicate with each other. The network 4 is, for example, the Internet. The life support device 2 is also connected to the information terminal 3 via the network 4 so that they can communicate with each other.

[0044] The life assistance device 2 includes a processor 21, a memory 22, and a communication unit 23.

[0045] The communication unit 23 receives the sensing information transmitted by the sensor 1 .

[0046] The memory 22 is a storage device capable of storing various types of information, such as a random access memory (RAM), a hard disk drive (HDD), a solid state drive (SSD), a flash memory, etc. The memory 22 stores the sensing information transmitted by the sensor 1.

[0047] The processor 21 is, for example, a central processing unit (CPU). The processor 21 realizes a sensing information acquisition unit 211, a first estimation processing unit 212, a second estimation processing unit 213, a life support information generation unit 214, and a life support information output unit 215.

[0048] The sensing information acquisition unit 211 acquires sensing information output from the sensor 1 that senses the state of a person. The sensing information acquisition unit 211 acquires the sensing information from the memory 22. The sensing information acquisition unit 211 reads out the sensing information stored in the memory 22.

[0049] The first estimation processing unit 212 executes a first estimation process to estimate a substance intake state of the person based on the sensing information. The first estimation processing unit 212 estimates the fluid intake state of the person in the first estimation process. The fluid intake state includes the amount of fluid intake of the person in a predetermined period. The predetermined period is, for example, one day. The first estimation processing unit 212 estimates the amount of fluid intake of the person in the predetermined period by summing up the amount of fluid intake in the predetermined period acquired as sensing information.

[0050] In the first embodiment, the first estimation processing unit 212 estimates the water intake based on sensing information from a sensor that measures the amount of drink poured into a glass as the person's water intake, but the present disclosure is not particularly limited to this. For example, the first estimation processing unit 212 may recognize the act of a person drinking a drink from an image acquired from a camera that captures an image of the person. The first estimation processing unit 212 may then measure the time that the person takes to drink the drink and estimate the water intake from the measured time.

[0051] The second estimation processing unit 213 executes a second estimation process to estimate the person's activity state that is correlated with the substance intake state based on the sensing information. In the second estimation process, the second estimation processing unit 213 estimates the person's excretion state. The excretion state includes the person's urination amount in a predetermined period. The predetermined period is, for example, one day. The second estimation processing unit 213 sums up the time during which the concentration of the ammonia component in the predetermined period acquired as the sensing information continues to exceed the threshold. That is, when the person urinates, the concentration of the ammonia component in the toilet bowl increases. Therefore, the time during which the person is urinating can be calculated by calculating the time from when the concentration of the ammonia component in the toilet bowl exceeds the threshold to when it falls below the threshold. The second estimation processing unit 213 estimates the amount of urine excreted by the person in a predetermined period (for example, one day) by multiplying the summed time by the amount of urine excreted per unit time (for example, one second). The amount of urine excreted per unit time is pre-stored in the memory 22.

[0052] In the first embodiment, the second estimation processing unit 213 estimates the amount of urine of the person based on sensing information from a sensor that measures the concentration of the ammonia component in the space in the toilet bowl, but the present disclosure is not particularly limited to this. For example, the second estimation processing unit 213 may determine whether or not the person is urinating based on sound information from a microphone that collects sounds in the space in the toilet bowl. The second estimation processing unit 213 may estimate the amount of urine of the person based on the continuous time during which it is determined that the person is urinating and the amount of urine discharged per unit time (for example, 1 second).

[0053] In addition, it is preferable that the sensor 1 obtains sensing information using a non-contact type sensor. This makes it possible to estimate a person's substance intake state and activity state without imposing a burden on the person. In addition, the sensor 1 may be a contact type sensor such as a wearable sensor.

[0054] At least one of the first inference process and the second inference process may be performed based on observation information by a care service provider, a family member, or the like.

[0055] The life support information generating unit 214 generates life support information for the person based on the execution result of the first estimation process and the execution result of the second estimation process. The life support information generating unit 214 generates life support information based on the balance between the water intake state and the excretion state. The life support information generating unit 214 compares the water intake amount and the urination amount in a predetermined period. When the water intake amount is less than the urination amount, the life support information generating unit 214 generates life support information indicating that the necessary water is not being taken in. On the other hand, when the water intake amount is equal to or greater than the urination amount, the life support information generating unit 214 generates life support information indicating that the necessary water is being taken in.

[0056] The life support information output unit 215 outputs the life support information generated by the life support information generation unit 214. For example, the life support information output unit 215 outputs life support information indicating whether or not the person is taking in the necessary amount of fluids. The life support information output unit 215 transmits the life support information for supporting the person's life to the information terminal 3 via the communication unit 23.

[0057] Communication unit 23 transmits the life support information output by life support information output unit 215 to information terminal 3.

[0058] The information terminal 3 is, for example, a smartphone, a tablet computer, or a personal computer. The information terminal 3 receives the life support information transmitted by the life support apparatus 2. The information terminal 3 presents the received life support information. For example, the information terminal 3 displays the received life support information.

[0059] The information terminal 3 is used by, for example, a care manager. The care manager creates a care plan for the person requiring care or support using life support information of the person whose condition has been sensed (for example, the person requiring care or support). That is, one of the assessment items is an item for selecting whether or not the necessary amount of fluid is being taken. The care manager creates a care plan for the person requiring care or support using life support information indicating whether or not the necessary amount of fluid is being taken.

[0060] In the first embodiment, the life support information is transmitted to the information terminal 3 used by the care manager, but the present disclosure is not particularly limited thereto, and the life support information may be transmitted to an information terminal 3 used by the person whose condition has been sensed or the caregiver of the person. If the person is not able to ingest the necessary amount of fluid, there is a risk of becoming dehydrated. Therefore, when the information terminal 3 receives life support information indicating that the person is not able to ingest the necessary amount of fluid, the information terminal 3 may present a message urging the person to replenish with fluids.

[0061] Furthermore, the life support information may be transmitted to an information terminal 3 used by a service provider that provides a service to a person.

[0062] Next, a description will be given of a life assistance process in the life assistance device 2 according to the first embodiment of the present disclosure.

[0063] FIG. 2 is a flowchart for explaining a life assistance process in the life assistance device 2 according to the first embodiment of the present disclosure.

[0064] First, in step S1, the sensing information acquisition unit 211 acquires sensing information measured by the sensor 1 from the memory 22. The sensing information is, for example, the amount of water intake and the amount of urine excreted.

[0065] For example, the life support process shown in Fig. 2 is performed once a day. The sensing information acquisition unit 211 acquires sensing information for one day, for example, at midnight. The time at which the sensing information is acquired is not limited to midnight. The life support process shown in Fig. 2 is not limited to once a day, and may be performed multiple times a day, once a week, or at predetermined intervals.

[0066] Next, in step S2, the first estimation processing unit 212 executes a first estimation process to estimate a substance intake state of the person based on the sensing information acquired by the sensing information acquisition unit 211. Here, the first estimation processing unit 212 estimates the person's water intake for a predetermined period of time.

[0067] Next, in step S3, the second estimation processing unit 213 executes a second estimation process to estimate an activity state of the person correlated with a substance intake state, based on the sensing information acquired by the sensing information acquisition unit 211. Here, the second estimation processing unit 213 estimates the amount of urine excreted by the person in a predetermined period of time.

[0068] Next, in step S4, the life support information generator 214 executes a life support information generation process to generate life support information for the person based on the execution result of the first estimation process and the execution result of the second estimation process. The life support information generation process will be described later with reference to FIG. 3.

[0069] Next, in step S5, life support information output unit 215 outputs the life support information generated by life support information generation unit 214. For example, life support information output unit 215 transmits life support information indicating whether or not the necessary amount of fluid has been ingested to information terminal 3 via communication unit 23.

[0070] Next, the life support information generation process in step S4 of FIG. 2 will be described.

[0071] FIG. 3 is a flowchart for explaining the life support information generation process in the first embodiment.

[0072] First, in step S11, the life support information generation unit 214 determines whether the amount of water intake for a specified period estimated by the first estimation processing unit 212 is less than the amount of urination for a specified period estimated by the second estimation processing unit 213.

[0073] Here, if it is determined that the amount of fluid intake in the specified period is less than the amount of urination in the specified period (YES in step S11), in step S12, the life support information generation unit 214 generates life support information indicating that the necessary amount of fluid is not being taken in.

[0074] On the other hand, if it is determined that the amount of fluid intake in the specified period is equal to or greater than the amount of urination in the specified period (NO in step S11), in step S13, the life support information generation unit 214 generates life support information indicating that the necessary amount of fluid is being taken in.

[0075] In this way, for example, there is a correlation between the amount of water intake taken into the human body and the amount of urine excreted from the human body, and if the balance between the amount of water intake and the amount of urine is disrupted, there is a risk of dehydration. However, according to the first embodiment, life support information for a person is generated based on the estimated result of the person's substance intake state and the estimated result of the person's activity state, which is correlated with the substance intake state, so that the person's life can be fully supported.

[0076] (Embodiment 2) In the first embodiment, the life support information generating unit 214 determines whether or not the amount of water intake for a predetermined period estimated by the first estimation processing unit 212 is less than the amount of urination for a predetermined period estimated by the second estimation processing unit 213. In contrast, in the second embodiment, the life support information generating unit 214 determines whether or not the amount of energy intake for a predetermined period estimated by the first estimation processing unit 212 is less than the amount of energy expenditure for a predetermined period estimated by the second estimation processing unit 213.

[0077] The configuration of the life assistance system in the second embodiment is the same as the configuration of the life assistance system in the first embodiment. Therefore, the configuration of the life assistance system in the second embodiment will be described below with reference to FIG.

[0078] The sensor 1 in the second embodiment is provided above a table on which a person eats, and includes a camera that captures an image of the table on which the meal is placed. The sensor 1 transmits sensing information indicating an image of the person's meal to the life assistance device 2.

[0079] The sensor 1 in the second embodiment includes at least one of a plurality of human presence sensors provided in the residence and a plurality of opening / closing sensors provided on the doors of each room in the residence. The sensor 1 transmits sensing information indicating the position where a person is detected or the position of an opened or closed door to the life assistance device 2.

[0080] Furthermore, the sensor 1 may include an input device that receives, for example, an input from the person that the person has eaten a meal. When the person has eaten a meal, the person presses a button provided on the input device. When the button is pressed, the input device may transmit sensing information indicating that the person has eaten a meal to the life assistance apparatus 2. The input device may receive an input of meal contents by the person and transmit sensing information indicating the meal contents to the life assistance apparatus 2.

[0081] Furthermore, the sensor 1 may include a home appliance that receives an operation by the person and operates according to the received operation. The home appliance may transmit operation log information as sensing information to the life assistance device 2. The life assistance device 2 can estimate the activity state of the person based on the operation log information from the home appliance.

[0082] In the first estimation process, the first estimation processing unit 212 in the second embodiment estimates the nutritional intake state of the person. The nutritional intake state includes the energy intake of the person in a predetermined period. The predetermined period is, for example, one day. The unit of the energy intake is calories. The first estimation processing unit 212 recognizes the meal contents from the image acquired as the sensing information using an image recognition processing technique. The first estimation processing unit 212 estimates the energy intake from the recognized meal contents. Note that the memory 22 previously stores a table that associates the meal contents with the energy intake. The first estimation processing unit 212 then estimates the energy intake of the person in the predetermined period by summing up the energy intake in the predetermined period.

[0083] The second estimation processing unit 213 in the second embodiment estimates the nutritional consumption state of the person in the second estimation process. The nutritional consumption state includes the energy consumption of the person in a predetermined period. The predetermined period is, for example, one day. The unit of the energy consumption is calories. The second estimation processing unit 213 estimates the moving distance of the person in a predetermined period from the identification information of the human sensor or the open / close sensor acquired as the sensing information. The memory 22 stores in advance a table in which two combinations of the identification information of the human sensor and the open / close sensor installed in the person's residence are associated with the distance between the two sensors. The memory 22 also stores in advance a table in which the moving distance is associated with the energy consumption. The second estimation processing unit 213 reads out from the memory 22 the distance associated with the combination of the identification information received this time and the identification information received last time as the moving distance of the person. The second estimation processing unit 213 sums up the moving distances in the predetermined period and reads out the energy consumption associated with the summed moving distance. In this way, the second estimation processing unit 213 estimates the energy expenditure of the person for a predetermined period of time.

[0084] For example, if the living room door sensor detects an open / closed state and then the toilet door sensor detects an open / closed state, it can be determined that a person has moved from the living room to the toilet. Therefore, the distance between the living room door sensor and the toilet door sensor is estimated as the moving distance of the person.

[0085] The life support information generating unit 214 in the second embodiment generates life support information based on the balance between the nutritional intake state and the nutritional consumption state. The life support information generating unit 214 compares the energy intake and energy consumption in a predetermined period. When the energy intake is less than the energy consumption, the life support information generating unit 214 generates life support information indicating that the person's food intake is insufficient. On the other hand, when the energy intake is more than the energy consumption, the life support information generating unit 214 generates life support information indicating that the person's exercise intake is insufficient.

[0086] For example, the life support information output unit 215 outputs life support information indicating that the person is not eating enough or that the person is not exercising enough. The life support information output unit 215 transmits the life support information for supporting the person's life to the information terminal 3 via the communication unit 23.

[0087] For example, when the information terminal 3 receives life support information indicating that the person's food intake is insufficient, the care manager creates a care plan to improve the food support system. Also, when the information terminal 3 receives life support information indicating that the person's exercise intake is insufficient, the care manager creates a care plan to improve the exercise support system.

[0088] In the second embodiment, the sensor 1 includes a camera that captures an image of the table on which a meal is placed, but the present disclosure is not particularly limited thereto. The sensor 1 may include a camera that is provided in a refrigerator and captures an image of ingredients in the refrigerator. In this case, the first estimation processing unit 212 may use an image recognition processing technique to recognize ingredients in the refrigerator and ingredients removed from the refrigerator from an image acquired as sensing information. The first estimation processing unit 212 may estimate a dish that has been cooked from ingredients that have been removed from the refrigerator, and estimate an energy intake from the estimated type of dish. The memory 22 previously stores a table that associates a plurality of ingredients with the type of dish cooked using the plurality of ingredients. The memory 22 also previously stores a table that associates types of dishes with energy intakes. The first estimation processing unit 212 may estimate a person's energy intake for a predetermined period by summing up the energy intakes for the predetermined period.

[0089] In the second embodiment, the sensor 1 includes a human presence sensor or a door opening / closing sensor, but the present disclosure is not particularly limited thereto, and the sensor 1 may include an activity meter that measures an activity amount of a person. The activity meter is worn by the person. The activity amount is, for example, the number of steps taken by the person. The memory 22 may previously store a table that associates the number of steps with the amount of energy consumption. In this case, the second estimation processing unit 213 may read out the amount of energy consumption associated with the number of steps in a predetermined period from the memory 22.

[0090] The sensor 1 may also include a camera that captures an image of a person in the residence. The second estimation processing unit 213 may recognize the living activity of the person from the image captured by the camera. The living activity is, for example, cleaning, laundry, cooking, bathing, etc. The memory 22 may store in advance a table that associates the living activity with the energy consumption. The second estimation processing unit 213 may read out the energy consumption associated with the recognized living activity from the memory 22, and estimate the total of the energy consumption read out within a predetermined period as the energy consumption for the predetermined period.

[0091] Next, a description will be given of the life support information generation process in the embodiment 2. Note that in the embodiment 2, the life support processes other than the life support information generation process are the same as the life support processes in the embodiment 1 shown in FIG.

[0092] FIG. 4 is a flowchart for explaining the life support information generating process in the second embodiment.

[0093] First, in step S21, the life support information generation unit 214 determines whether the energy intake for a specified period estimated by the first estimation processing unit 212 is less than the energy expenditure for a specified period estimated by the second estimation processing unit 213.

[0094] Here, if it is determined that the energy intake for the specified period is less than the energy expenditure for the specified period (YES in step S21), in step S22, the life support information generation unit 214 generates life support information indicating that the person's food intake is insufficient.

[0095] On the other hand, if it is determined that the energy intake for the specified period is equal to or greater than the energy expenditure for the specified period (NO in step S21), in step S23, the life support information generation unit 214 generates life support information indicating that the person's amount of exercise is insufficient.

[0096] In this way, in this embodiment 2, a person's nutritional intake state and a person's nutritional consumption state are estimated, and life support information is generated based on the balance between the nutritional intake state and the nutritional consumption state, thereby enabling the person to be supported in taking in appropriate nutrition.

[0097] (Embodiment 3) In embodiment 3, the life support information generation unit 214 determines whether the characteristics of the stool excreted by taking the type of medicine estimated by the first estimation processing unit 212 are the same as the characteristics of the stool estimated by the second estimation processing unit 213.

[0098] The configuration of the life assistance system in the third embodiment is the same as the configuration of the life assistance system in the first embodiment. Therefore, the configuration of the life assistance system in the third embodiment will be described below with reference to FIG.

[0099] The sensor 1 in the third embodiment includes a medication support device that notifies the person of the scheduled time of taking medicine by image and / or sound and notifies the type, amount, and date and time of taking the medicine taken by the person. The sensor 1 transmits sensing information indicating the type, amount, and date and time of taking the medicine taken by the person to the life support device 2.

[0100] The sensor 1 in the third embodiment includes a camera provided in the toilet bowl. The sensor 1 transmits to the life assistance device 2 sensing information indicating an image of feces excreted in the toilet bowl.

[0101] Furthermore, the sensor 1 may include an input device that receives, for example, an input from the person that the person has taken medicine. When the person has taken medicine, the person presses a button provided on the input device. When the button is pressed, the input device may transmit sensing information indicating that the person has taken medicine to the life support apparatus 2. The input device may receive input from the person of the type, amount, and date and time of the medicine taken, and transmit sensing information indicating the type, amount, and date and time of the medicine taken to the life support apparatus 2.

[0102] Furthermore, the sensor 1 may include an input device that receives, for example, an input from the person that the person has defecate or urinate. When the person has defecate or urinate, the person presses a button provided on the input device. When the button is pressed, the input device may transmit sensing information indicating that the person has defecate or urinate to the life support device 2. The input device may receive input from the person of the characteristics, amount, and excretion date and time of the excreted stool, and transmit sensing information indicating the characteristics, amount, and excretion date and time to the life support device 2. The input device may also receive input from the person of the excretion date and frequency of urine excreted by the person, and transmit sensing information indicating the excretion date and frequency of urine excretion to the life support device 2.

[0103] The first estimation processing unit 212 in this third embodiment estimates the drug intake state of a person in the first estimation process. The drug intake state includes the type, amount, and date and time of taking the drug taken by the person in a predetermined period. The predetermined period is, for example, one day. The first estimation processing unit 212 estimates the type, amount, and date and time of taking the drug taken by the person from the type, amount, and date and time of taking the drug acquired as sensing information.

[0104] The second estimation processing unit 213 in the third embodiment estimates the excretion state of the person in the second estimation process. The excretion state includes the properties, amount, and excretion date and time of the stool excreted by the person in a predetermined period. The predetermined period is, for example, one day. The second estimation processing unit 213 estimates the properties, amount, and excretion date and time of the stool excreted by the person in a predetermined period from an image acquired as sensing information using an image recognition processing technology. The Bristol scale is an index for classifying the properties of stool. According to the Bristol scale, the properties of stool are classified into hard stool, hard stool, slightly hard stool, normal stool, slightly soft stool, muddy stool, and watery stool. The properties of the stool can be identified by recognizing an image of the stool. The properties of the stool are not limited to the above seven types, and may be more than seven types or less than seven types.

[0105] The life support information generating unit 214 in the third embodiment generates life support information based on the drug intake state and excretion state. The life support information generating unit 214 judges whether the properties of the stool excreted by taking the estimated type of drug are the same as the estimated properties of the stool. The memory 22 previously stores a table in which the types of drugs are associated with the properties of the stool excreted by taking the drug. When the life support information generating unit 214 judges that the properties of the stool excreted by taking the estimated type of drug are not the same as the estimated properties of the stool, it generates life support information that encourages the user to consult a doctor about taking the drug. At this time, the life support information generating unit 214 includes the estimated type, amount, date and time of taking the drug, properties of the stool, amount of excretion, and date and time of excretion in the life support information.

[0106] The life support information generating unit 214 also judges whether the amount of stool excreted by taking the estimated type of medicine is the same as the estimated amount of stool. The memory 22 previously stores a table in which the type of medicine is associated with the amount of stool excreted by taking the medicine. When the life support information generating unit 214 judges that the amount of stool excreted by taking the estimated type of medicine is not the same as the estimated amount of stool, it generates life support information that encourages the user to consult a doctor about taking the medicine. At this time, the life support information generating unit 214 includes the estimated type, amount, date and time of taking the medicine, properties of stool, amount of excretion, and date and time of excretion in the life support information.

[0107] Furthermore, the life support information generating unit 214 judges whether or not stool is excreted within a predetermined time from the date and time when the estimated type of medicine is taken. The memory 22 previously stores a table in which the type of medicine is associated with a predetermined time from the date and time when the medicine is taken to the date and time when stool is excreted. When the life support information generating unit 214 judges that stool is not excreted within a predetermined time from the date and time when the estimated type of medicine is taken, it generates life support information that encourages the patient to consult a doctor about taking the medicine. At this time, the life support information generating unit 214 includes the estimated type, amount, date and time when the medicine is taken, the properties of stool, the amount of excretion, and the date and time when the excretion is taken in the life support information.

[0108] On the other hand, if the life support information generating unit 214 determines that the properties of the stool excreted by taking the estimated type of medicine are the same as the estimated properties of the stool, determines that the amount of stool excreted by taking the estimated type of medicine is the same as the estimated amount of stool, and determines that stool is excreted within a predetermined time from the date and time when the estimated type of medicine was taken, it generates life support information indicating that the person is taking the medicine correctly. At this time, the life support information generating unit 214 includes the estimated type and amount of medicine, the date and time of taking the medicine, the properties of stool, the amount excreted, and the date and time of excretion in the life support information.

[0109] For example, if the type of the estimated medicine is a laxative, the property of the stool excreted by taking the laxative is either slightly soft stool, muddy stool, or watery stool. At this time, if the life support information generating unit 214 determines that the property of the estimated stool is not either slightly soft stool, muddy stool, or watery stool, it generates life support information that encourages the user to consult a doctor about taking the medicine.

[0110] For example, the life support information output unit 215 outputs life support information showing that the person is taking medication correctly or life support information encouraging the person to consult a doctor regarding medication. The life support information output unit 215 transmits the life support information for supporting the person's life to the information terminal 3 via the communication unit 23.

[0111] For example, when the information terminal 3 receives life support information encouraging the person to consult a doctor about taking medicine, the care manager presents the doctor with the estimated type, amount, date and time of taking the medicine, stool properties, excretion amount, and excretion date and time. The life support information includes the estimated type, amount, date and time of taking the medicine, stool properties, excretion amount, and excretion date and time. The doctor can determine whether the prescribed medicine is suitable for the person by checking the presented type, amount, date and time of taking the medicine, stool properties, excretion amount, and excretion date and time. Also, for example, when the information terminal 3 receives life support information indicating that the person is taking the medicine correctly, the care manager may or may not present the estimated type, amount, date and time of taking the medicine, stool properties, excretion amount, and excretion date and time to the doctor.

[0112] Next, a description will be given of the life support information generation process in the embodiment 3. Note that in the embodiment 3, the life support processes other than the life support information generation process are the same as the life support processes in the embodiment 1 shown in FIG.

[0113] FIG. 5 is a flowchart for explaining the life support information generating process in the third embodiment.

[0114] First, in step S31, the life support information generation unit 214 determines whether the characteristics of the stool excreted by taking the type of medicine estimated by the first estimation processing unit 212 are the same as the characteristics of the stool estimated by the second estimation processing unit 213.

[0115] Here, if it is determined that the properties of the stool excreted as a result of taking the estimated type of medication are not the same as the estimated properties of the stool (NO in step S31), in step S32, the life support information generation unit 214 generates life support information encouraging the patient to consult a doctor regarding medication.

[0116] On the other hand, if it is determined that the properties of the stool excreted by taking the estimated type of medicine are the same as the estimated properties of the stool (YES in step S31), in step S33, the life support information generating unit 214 determines whether or not the amount of stool excreted by taking the type of medicine estimated by the first estimation processing unit 212 is the same as the amount of stool estimated by the second estimation processing unit 213. Here, if it is determined that the amount of stool excreted by taking the estimated type of medicine is not the same as the estimated amount of stool (NO in step S33), the process proceeds to step S32.

[0117] On the other hand, if it is determined that the amount of stool excreted by taking the estimated type of medicine is the same as the estimated amount of stool (YES in step S33), in step S34, the life support information generating unit 214 determines whether or not stool has been excreted within a predetermined time from the date and time when the medicine of the type estimated by the first estimation processing unit 212 was taken. If it is determined that stool has not been excreted within the predetermined time from the date and time when the medicine of the estimated type was taken (NO in step S34), the process proceeds to step S32.

[0118] On the other hand, if it is determined that stool was excreted within a specified time from the date and time when the estimated type of medicine was taken (YES in step S34), in step S35, the life support information generation unit 214 generates life support information indicating that the person is taking the medicine correctly.

[0119] Thus, in this third embodiment, a person's medication intake status and excretion status are estimated, and life support information is generated based on the medication intake status and excretion status, thereby making it possible to support the person in taking appropriate medication.

[0120] In addition, if it is determined that the characteristics of the stool excreted after taking the estimated type of medicine are not the same as the estimated characteristics of the stool, if it is determined that the amount of stool excreted after taking the estimated type of medicine is not the same as the estimated amount of stool, or if it is determined that stool has not been excreted within a specified time from the date and time the estimated type of medicine was taken, life support information is generated that encourages the person to consult a doctor regarding the medication, thereby encouraging the person to consult a doctor regarding the medication.

[0121] The processes of steps S31, S33, and S34 may be performed separately. That is, if it is determined that the properties of the stool excreted by taking the estimated type of medicine are the same as the estimated properties of the stool (YES in step S31), the processes of steps S33 and S34 are not performed, and in step S35, the life support information generating unit 214 may generate life support information indicating that the person is taking the medicine correctly. Also, the process of step S33 may be performed without performing the process of step S31. In this case, if it is determined that the amount of stool excreted by taking the estimated type of medicine is the same as the estimated amount of stool (YES in step S33), the process of step S34 is not performed, and in step S35, the life support information generating unit 214 may generate life support information indicating that the person is taking the medicine correctly. Also, the process of step S34 may be performed without performing the processes of steps S31 and S33.

[0122] Next, a modification of the third embodiment will be described.

[0123] The first estimation processing unit 212 in the variation of the third embodiment estimates the drug intake state of a person in the first estimation process. The drug intake state includes the type, amount, and date and time of taking the drug taken by the person in a predetermined period. The predetermined period is, for example, one day. The first estimation processing unit 212 estimates the type, amount, and date and time of taking the drug taken by the person from the type, amount, and date and time of taking the drug acquired as sensing information.

[0124] The second estimation processing unit 213 in the modified example of the third embodiment estimates the excretion state of the person in the second estimation process. The excretion state includes the excretion date and time and the excretion frequency of urine excreted by the person in a predetermined period. The predetermined period is, for example, one day. The second estimation processing unit 213 estimates the date and time at which the concentration of the ammonia component continuously exceeds a threshold value during a predetermined period acquired as sensing information as the urinary excretion date and time. In addition, the second estimation processing unit 213 estimates the number of times at which the concentration of the ammonia component continuously exceeds a threshold value during a predetermined period acquired as sensing information as the urinary excretion frequency.

[0125] The life support information generating unit 214 in the modified embodiment of the third embodiment generates life support information based on the drug intake state and excretion state. The life support information generating unit 214 judges whether or not urine is excreted within a predetermined time from the date and time when the estimated type of drug is taken. The memory 22 stores in advance a table in which the type of drug is associated with a predetermined time from the date and time when the drug is taken to the date and time when urine is excreted. When the life support information generating unit 214 judges that urine is not excreted within a predetermined time from the date and time when the estimated type of drug is taken, it generates life support information that encourages the user to consult a doctor about taking the drug. At this time, the life support information generating unit 214 includes the estimated type, amount, date and time of taking the drug, date and time of urine excretion, and frequency of excretion in the life support information.

[0126] Furthermore, the life support information generating unit 214 in the modified embodiment of the third embodiment judges whether the estimated urinary excretion frequency is higher than a predetermined frequency from the date and time when the estimated type of medicine was taken. The memory 22 prestores a table in which the type of medicine is associated with a predetermined frequency at which urine is excreted after the medicine of the estimated type is taken. When the life support information generating unit 214 judges that the estimated urinary excretion frequency is higher than a predetermined frequency from the date and time when the estimated type of medicine was taken, it generates life support information that encourages the user to consult a doctor about taking the medicine. At this time, the life support information generating unit 214 includes the estimated type, amount, date and time of taking the medicine, date and time of urine excretion, and frequency of excretion in the life support information.

[0127] On the other hand, when the life support information generating unit 214 determines that urine was excreted within a predetermined time from the date and time when the estimated type of medicine was taken and determines that the estimated urinary excretion frequency is equal to or less than a predetermined frequency from the date and time when the estimated type of medicine was taken, it generates life support information indicating that the person is taking the medicine correctly. At this time, the life support information generating unit 214 includes the estimated type and amount of medicine, the date and time when the medicine was taken, the date and time when the urine was excreted, and the frequency of excretion in the life support information.

[0128] Users with circulatory system diseases often take diuretics. However, elderly people often suffer from frequent urination, and it is said that controlling the amount of medication is difficult. Therefore, taking medication (e.g., diuretics), and the date and time of urination and frequency of urination (especially nighttime frequency of urination) are important information for supporting the daily lives of users.

[0129] Next, a description will be given of a life support information generation process in a variation of the embodiment 3. Note that in the variation of the embodiment 3, the life support processes other than the life support information generation process are the same as the life support processes in the embodiment 1 shown in FIG.

[0130] FIG. 6 is a flowchart for explaining the life support information generation process in the modified example of the third embodiment.

[0131] First, in step S51, the life support information generating unit 214 judges whether or not urine has been excreted within a predetermined time from the date and time when the type of medicine estimated by the first estimation processing unit 212 was taken. If it is judged that urine has not been excreted within the predetermined time from the date and time when the estimated type of medicine was taken (NO in step S51), in step S52, the life support information generating unit 214 generates life support information that encourages the patient to consult a doctor about taking the medicine.

[0132] On the other hand, if it is determined that urine was excreted within a predetermined time from the date and time when the estimated type of medicine was taken (YES in step S51), in step S53, the life support information generation unit 214 determines whether the urinary excretion frequency estimated by the second estimation processing unit 213 from the date and time when the type of medicine estimated by the first estimation processing unit 212 was taken is higher than a predetermined frequency.

[0133] Here, if it is determined that the estimated urinary excretion frequency is higher than a predetermined frequency based on the date and time when the estimated type of medicine was taken (YES in step S53), the process proceeds to step S52.

[0134] On the other hand, if it is determined that the estimated urinary excretion frequency is below a predetermined frequency based on the date and time when the estimated type of medication was taken (NO in step S53), in step S54, the life support information generation unit 214 generates life support information indicating that the person is taking the medication correctly.

[0135] In this way, if it is determined from the date and time when the estimated type of medicine was taken that urine has not been excreted within a specified time, or if it is determined from the date and time when the estimated type of medicine was taken that the estimated urinary excretion frequency is higher than a specified frequency, life support information is generated that encourages the person to consult a doctor regarding the medication, thereby encouraging the person to consult a doctor regarding the medication.

[0136] The processes of steps S51 and S53 may be performed separately. That is, if it is determined that urine has been excreted within a predetermined time from the date and time when the estimated type of medicine was taken (YES in step S51), the process of step S53 may not be performed, and in step S54, the life support information generating unit 214 may generate life support information indicating that the person is taking the medicine correctly. Also, the process of step S53 may be performed without performing the process of step S51.

[0137] (Embodiment 4) In the fourth embodiment, when the type of medicine taken by a person is a sleeping pill, the life support information generating unit 214 judges whether or not the sleeping time is shorter than a predetermined time.

[0138] The configuration of the life assistance system in the fourth embodiment is the same as the configuration of the life assistance system in the first embodiment. Therefore, the configuration of the life assistance system in the fourth embodiment will be described below with reference to FIG.

[0139] The sensor 1 in the fourth embodiment includes a medication support device that notifies the person of the scheduled time of taking medication by image and / or sound and notifies the person of the type of medication taken by the person. The sensor 1 transmits sensing information indicating the type of medication taken by the person to the life support device 2.

[0140] Moreover, the sensor 1 in the fourth embodiment is a sheet-type piezoelectric sensor placed under a bed mat on which a person sleeps, and acquires bio-information such as the person's heart rate, respiratory rate, and body movement amount. The sensor 1 acquires the person's bio-information periodically (for example, every 10 minutes), and transmits sensing information indicating the acquired bio-information to the life assistance device 2. Note that the sensor 1 is not limited to a piezoelectric sensor, and may be a sensor that acquires bio-information by other methods, such as a wristband-type wearable sensor or a radio wave sensor.

[0141] In the first estimation process, the first estimation processing unit 212 in the fourth embodiment estimates the medication state of a person. The medication state includes types of medication taken by the person in a predetermined period. The predetermined period is, for example, one day. The first estimation processing unit 212 estimates the types of medication taken by the person from the types of medication acquired as sensing information.

[0142] The second estimation processing unit 213 in the fourth embodiment estimates the sleeping state of a person in the second estimation process. The sleeping state includes the sleeping time of the person in a predetermined period. The predetermined period is, for example, one day. The second estimation processing unit 213 estimates the sleeping time of the person from the biological information acquired as the sensing information. The second estimation processing unit 213 estimates the sleeping time from when the person falls asleep to when he or she wakes up from the person's heart rate, respiratory rate, and amount of body movement.

[0143] The life support information generating unit 214 in the fourth embodiment generates life support information based on the medicine intake state and the sleep state. The life support information generating unit 214 judges whether the type of medicine taken by the person is a sleeping pill. If the type of medicine taken by the person is a sleeping pill, the life support information generating unit 214 judges whether the sleeping time is shorter than a predetermined time. If the life support information generating unit 214 judges that the sleeping time is shorter than the predetermined time, it generates life support information that encourages the person to consult a doctor about taking the medicine. The predetermined time is, for example, 7 hours. On the other hand, if the life support information generating unit 214 judges that the sleeping time is equal to or longer than the predetermined time, it generates life support information indicating that the person is taking the medicine correctly.

[0144] For example, if the type of medicine taken by a person is a sleeping pill and the sleeping pill is suitable for the person, the sleeping time will be long. On the other hand, if the type of medicine taken by a person is a sleeping pill and the sleeping pill is not suitable for the person, the sleeping time will be short. Therefore, when the type of medicine taken by a person is a sleeping pill and the sleeping time is shorter than a predetermined time, the life support information generating unit 214 generates life support information that encourages the person to consult a doctor about taking the medicine.

[0145] The second estimation processing unit 213 may estimate the number of times the person awakens during sleep. The life support information generating unit 214 may determine whether the number of times the person awakens during sleep is greater than a predetermined number. If the number of times the person awakens during sleep is greater than a predetermined number, the life support information generating unit 214 may generate life support information that encourages the person to consult a doctor about taking medication. If the number of times the person awakens during sleep is equal to or less than a predetermined number, the life support information generating unit 214 may generate life support information that indicates that the person is taking medication correctly.

[0146] For example, the life support information output unit 215 outputs life support information showing that the person is taking medication correctly or life support information encouraging the person to consult a doctor regarding medication. The life support information output unit 215 transmits the life support information for supporting the person's life to the information terminal 3 via the communication unit 23.

[0147] For example, when the information terminal 3 receives life support information encouraging a person to consult a doctor about medication, the care manager presents the doctor with the estimated type, amount, date and time of taking the sleeping pill. The life support information includes the estimated type, amount, date and time of taking the sleeping pill, and sleep time. Also, when the information terminal 3 receives life support information indicating that a person is taking medication correctly, the care manager may or may not present the estimated type, amount, date and time of taking the sleeping pill, and sleep time to the doctor.

[0148] Next, a description will be given of the life support information generation process in the embodiment 4. In the embodiment 4, the life support processes other than the life support information generation process are the same as the life support processes in the embodiment 1 shown in FIG.

[0149] FIG. 7 is a flowchart for explaining the life support information generating process in the fourth embodiment.

[0150] First, in step S41, life support information generation unit 214 judges whether or not the type of drug estimated by first estimation processing unit 212 is a sleeping pill. If it is determined that the type of drug estimated is not a sleeping pill (NO in step S41), in step S42, life support information generation unit 214 generates life support information indicating that a sleeping pill is not being taken.

[0151] On the other hand, if it is determined that the type of the estimated medication is a sleeping pill (YES in step S41), in step S43, the life support information generation unit 214 determines whether the sleeping time estimated by the second estimation processing unit 213 is shorter than a predetermined time.

[0152] If it is determined that the estimated sleeping time is shorter than the predetermined time (YES in step S43), in step S44, life support information generating section 214 generates life support information that encourages the user to consult a doctor about taking medicine.

[0153] On the other hand, if it is determined that the estimated sleeping time is equal to or longer than the predetermined time (NO in step S43), in step S45, life support information generating section 214 generates life support information indicating that the person is taking medication correctly.

[0154] Thus, in this fourth embodiment, a person's medication intake state and sleep state are estimated, and life support information is generated based on the medication intake state and sleep state, thereby making it possible to support the person in taking appropriate medication.

[0155] In each of the above embodiments, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory. In addition, the program may be executed by another independent computer system by recording the program on a recording medium and transferring the program, or by transferring the program via a network.

[0156] A part or all of the functions of the device according to the embodiment of the present disclosure are typically realized as an LSI (Large Scale Integration), which is an integrated circuit. These may be individually integrated into one chip, or may be integrated into one chip that includes some or all of the functions. The integrated circuit is not limited to an LSI, and may be realized by a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connections and settings of circuit cells inside the LSI, may be used.

[0157] Furthermore, some or all of the functions of the device according to the embodiment of the present disclosure may be realized by a processor such as a CPU executing a program.

[0158] Furthermore, all the numbers used above are merely examples for the purpose of specifically explaining the present disclosure, and the present disclosure is not limited to the numbers exemplified.

[0159] In addition, the order in which each step is performed shown in the above flowchart is merely an example for specifically explaining the present disclosure, and an order other than the above may be used as long as the same effect is obtained. In addition, some of the steps may be performed simultaneously (in parallel) with other steps. [Industrial Applicability]

[0160] INDUSTRIAL APPLICABILITY The technology disclosed herein can fully support a person's daily life and is therefore useful as a technology for managing a person's health.

Claims

1. The computer Acquire sensing information output from a sensor that senses the state of a person; executing a first estimation process for estimating a substance intake state of the person based on the sensing information; executing a second estimation process for estimating an activity state of the person that is correlated with the substance intake state based on the sensing information; generating life support information for the person based on a result of the first inference process and a result of the second inference process; Outputting the generated life support information; In the execution of the first estimation process, a medication intake state of the person is estimated; In the execution of the second estimation process, an excretion state of the person is estimated; In generating the life support information, the life support information is generated based on the medicine intake state and the excretion state. Information processing methods.

2. The medication status includes the type, amount, and date and time of medication taken by the person; The excretion state includes the nature, amount, and excretion date and time of the stool excreted by the person, When it is determined in the generation of the life support information that the characteristics of the stool excreted as a result of taking the estimated type of medicine are not the same as the estimated characteristics of the stool, when it is determined that the amount of stool excreted as a result of taking the estimated type of medicine is not the same as the estimated amount of stool, or when it is determined that the stool has not been excreted within a predetermined time from the date and time when the estimated type of medicine was taken, the life support information is generated to encourage the patient to consult a doctor regarding taking the medicine, The life support information includes the estimated type, amount, and date and time of taking the medicine, the nature of the stool, the amount of excretion, and the date and time of excretion.

2. The information processing method according to claim 1.

3. The medication status includes the type, amount, and date and time of medication taken by the person; The excretion state includes an excretion date and time and an excretion frequency of urine excreted by the person, generating the life support information, when it is determined that the urine has not been excreted within a predetermined time from the date and time when the estimated type of medicine was taken, or when it is determined that the estimated urine excretion frequency is higher than a predetermined frequency from the date and time when the estimated type of medicine was taken, the life support information is generated to encourage the user to consult a doctor regarding taking the medicine; The life support information includes the estimated type, amount, and date and time of taking the medicine, and the date and time and frequency of excretion of the urine.

2. The information processing method according to claim 1.

4. A computer comprising: Acquire sensing information output from a sensor that senses the state of a person; executing a first estimation process for estimating a substance intake state of the person based on the sensing information; executing a second estimation process for estimating an activity state of the person that is correlated with the substance intake state based on the sensing information; generating life support information for the person based on a result of the first inference process and a result of the second inference process; Outputting the generated life support information; In the execution of the first estimation process, a medication intake state of the person is estimated; In the execution of the second estimation process, a sleep state of the person is estimated; In generating the life support information, the life support information is generated based on the medicine intake state and the sleep state. Information processing methods.

5. The medication status includes the type, amount, and date and time of medication taken by the person; The sleep state includes a sleep time of the person, In generating the life support information, if the type of the medicine taken by the person is a sleeping pill, it is determined whether the sleeping time is shorter than a predetermined time, and if it is determined that the sleeping time is shorter than the predetermined time, the life support information is generated to encourage the person to consult a doctor regarding the taking of the medicine; The life support information includes the estimated type, amount, date and time of taking the medicine, and the sleep time.

5. The information processing method according to claim 4.

6. an acquisition unit that acquires sensing information output from a sensor that senses a state of a person; a first inference process execution unit that executes a first inference process for inferring a substance intake state of the person based on the sensing information; a second inference process execution unit that executes a second inference process to infer an activity state of the person that is correlated with the substance intake state based on the sensing information; a generation unit that generates life support information for the person based on an execution result of the first estimation process and an execution result of the second estimation process; an output unit that outputs the generated life support information; Equipped with The first inference process execution unit estimates a medication intake state of the person, The second inference process execution unit estimates an excretion state of the person, The generation unit generates the life support information based on the medicine intake state and the excretion state. Information processing device.

7. Acquire sensing information output from a sensor that senses the state of a person; executing a first estimation process for estimating a substance intake state of the person based on the sensing information; executing a second estimation process for estimating an activity state of the person that is correlated with the substance intake state based on the sensing information; generating life support information for the person based on a result of the first inference process and a result of the second inference process; causing a computer to function so as to output the generated life support information; In the execution of the first estimation process, a medication intake state of the person is estimated; In the execution of the second estimation process, an excretion state of the person is estimated; In generating the life support information, the life support information is generated based on the medicine intake state and the excretion state. Information processing program.

8. An acquisition unit that acquires sensing information output from a sensor that senses a state of a person; a first inference process execution unit that executes a first inference process for inferring a substance intake state of the person based on the sensing information; a second inference process execution unit that executes a second inference process to infer an activity state of the person that is correlated with the substance intake state based on the sensing information; a generation unit that generates life support information for the person based on an execution result of the first estimation process and an execution result of the second estimation process; an output unit that outputs the generated life support information; Equipped with The first inference process execution unit estimates a medication intake state of the person, The second estimation process execution unit estimates a sleeping state of the person, The generation unit generates the life support information based on the medicine intake state and the sleep state. Information processing device.

9. Acquiring sensing information output from a sensor that senses the state of a person; executing a first estimation process for estimating a substance intake state of the person based on the sensing information; executing a second estimation process for estimating an activity state of the person that is correlated with the substance intake state based on the sensing information; generating life support information for the person based on a result of the first inference process and a result of the second inference process; causing a computer to function so as to output the generated life support information; In the execution of the first estimation process, a medication intake state of the person is estimated; In the execution of the second estimation process, a sleep state of the person is estimated; In generating the life support information, the life support information is generated based on the medicine intake state and the sleep state. Information processing program.

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