JP-2026075746-A - Information processing systems, information processing methods, and programs
Abstract
[Problem] To provide an information processing system, information processing method, and program that can further improve the accuracy of estimating health status and other conditions based on biological information and machine learning models. [Solution] In an information processing system in which an information processing device, a user terminal, and a wearable device are configured to communicate with each other via a telecommunications line such as a network, the processor of the information processing device has an acquisition unit that continuously acquires the user's biometric information S001, and an update unit that estimates a state score that quantitatively indicates the user's health or psychological state based on the continuously acquired biometric information and a learning model S002, and updates a cumulative score obtained by continuously accumulating the estimated state scores S003, and displays visual information related to the cumulative score S004. [Selection Diagram] Figure 5
Inventors
- ▲崎▼村 広人
- 長屋 隆之
- 幸田 勝典
- 村本 伸彦
Assignees
- 株式会社豊田中央研究所
Dates
- Publication Date
- 20260511
- Application Date
- 20241023
Claims (8)
- An information processing system, Equipped with at least one processor, The processor is configured to execute a program such that the following steps are performed: In the acquisition step, the user's biometric information is continuously acquired. In the update step, Based on the continuously acquired biometric information and the learning model, a state score that quantitatively represents the user's health or psychological state is estimated, The cumulative score obtained by continuously accumulating the estimated state scores is updated, In the display control step, the system displays visual information relating to the cumulative score, thereby enabling the user to continuously understand their health or psychological state.
- In the system described in claim 1, In the update step, if the cumulative score exceeds a predetermined threshold when the status scores are accumulated, the system restricts the updating of the cumulative score.
- In the system described in claim 2, The threshold can be changed according to the user's characteristics in the system.
- In the system described in claim 1, The cumulative score has at least two indicators, The system comprises a visual information in which the cumulative score is plotted on a coordinate space having axes corresponding to the indicators.
- In the system described in claim 4, The system further comprises a configuration in which the visual information is plotted sequentially with a plurality of cumulative scores according to a time series.
- In the system described in claim 1, In the aforementioned acquisition step, environmental information is further acquired. The aforementioned environmental information is information about the environment surrounding the user, The state score is estimated based on at least the environmental information, the biological information, and the learning model of the system.
- Information processing method, A method comprising each step of the information processing system described in any one of claims 1 to 6.
- It is a program, A program that causes a computer to perform each step of the information processing system described in any one of claims 1 to 6.
Description
This invention relates to an information processing system, an information processing method, and a program. For example, Patent Document 1 discloses "an information processing device that appropriately estimates information regarding a user's ideal physical condition in accordance with desired health information indicating the health state desired by the user." The information processing device comprises: an acquisition unit that acquires a machine learning model trained to estimate health information indicating health status from biological information; and an estimation unit that maps the user's health information into the latent space of the machine learning model and estimates ideal biological information, which is biological information corresponding to the desired health state, based on first health characteristic information corresponding to the user's health information mapped into the latent space. Japanese Patent Publication No. 2023-180124 This is a diagram showing the configuration of information processing system 1.This is a block diagram showing the hardware configuration of the information processing device 2.This is a block diagram showing the hardware configuration of user terminal 3.This is a functional block diagram showing the functions of the information processing device 2.This flowchart shows an overview of the processes performed by Information Processing System 1.This is an activity diagram showing a specific example of processing performed by information processing system 1.This figure shows an example of a results screen 5 displayed on the display unit 34 of the user terminal 3 in this embodiment.This is a diagram to explain the movement of objects on a graph.This figure shows another example of how the estimated results of user U's psychological state are displayed. The embodiments of the present invention will be described below with reference to the drawings. The various features shown in the embodiments below are interchangeable. Incidentally, the program for implementing the software appearing in one embodiment may be provided as a computer-readable non-transitor-readable medium, or it may be provided as a downloadable file from an external server, or it may be provided so that the program is launched on an external computer and its functions are realized on a client terminal (so-called cloud computing). Furthermore, in various information processing according to one embodiment, an input and an output corresponding to the input can be realized. Here, as long as an output is obtained as a result of the input, the form of the information referenced in such information processing (hereinafter referred to as "reference information") is not limited. The reference information may be, for example, rule-based information such as a database, a lookup table, or a predetermined function (including a decision formula such as a regression equation constructed using statistical methods), or it may be a pre-trained model that has learned the correlation between input and output in advance, or it may be a large-scale language model that can output a desired result by inputting a prompt. Furthermore, in one embodiment, "part" may include, for example, hardware resources implemented by a broad-sense circuit and the information processing of software that can be specifically realized by these hardware resources. Also, in one embodiment, various types of information are handled, and this information can be represented, for example, by the physical values of signal values representing voltage and current, the high or low values of signal values as a set of binary bits composed of 0s or 1s, or by quantum superposition (so-called qubits), and communication and calculations can be performed on a broad-sense circuit. Furthermore, a circuit in a broad sense is a circuit realized by combining at least an appropriate combination of circuits, circuits, processors, and memory. The processor may be a general-purpose processor or a dedicated circuit. In other words, this includes application-specific integrated circuits (ASICs), programmable logic devices (e.g., simple programmable logic devices (SPLDs), complex programmable logic devices (CPLDs), and field programmable gate arrays (FPGAs)), etc.). 1. Hardware Configuration This section describes the hardware configuration of one embodiment. 1.1 Information Processing System 1 Figure 1 is a configuration diagram representing an information processing system 1. The information processing system 1 comprises an information processing device 2, a user terminal 3, and a wearable device 4. The information processing device 2, the user terminal 3, and the wearable device 4 are configured to communicate with each other via a telecommunications line such as a network 11. In one embodiment, the information processing system 1 consists of one or more devices or components. For example, if it consists only of the information processing device 2, the information proces