WO2018018925A1 - 基于虚拟现实的辅助老年痴呆症患者寻找物品的系统及方法 - Google Patents

基于虚拟现实的辅助老年痴呆症患者寻找物品的系统及方法 Download PDF

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WO2018018925A1
WO2018018925A1 PCT/CN2017/079159 CN2017079159W WO2018018925A1 WO 2018018925 A1 WO2018018925 A1 WO 2018018925A1 CN 2017079159 W CN2017079159 W CN 2017079159W WO 2018018925 A1 WO2018018925 A1 WO 2018018925A1
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patient
item
alzheimer
find
wearable device
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French (fr)
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张贯京
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/372—Analysis of electroencephalograms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/04815—Interaction with a metaphor-based environment or interaction object displayed as three-dimensional [3D], e.g. changing the user viewpoint with respect to the environment or object
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01—Indexing scheme relating to G06F3/01
    • G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment

Definitions

  • the present invention relates to the field of elderly health care, and more particularly to a system and method for assisting an Alzheimer's disease patient to find an item based on virtual reality.
  • Alzheimer's disease also known as "Alzheimer's disease”
  • Alzheimer's disease is a neurodegenerative disorder that leads to memory, dysfunction, visual space, language communication, abstract thinking, learning and computing.
  • Sexual disease Alzheimer's disease often occurs in old age or early age, and the risk of disease increases with increasing age.
  • Memory disorders often occur in the early stages of Alzheimer's disease, especially when the memory impairment is more serious, and the events that occur in a few hours or even minutes before the patient can't be recalled. In the early days of Alzheimer's disease, it is often manifested as awkward and clear-headed, and there is a situation in which the mind is amnesiad and forgotten. This state is called interstitial brain amnesia.
  • a primary object of the present invention is to provide a system and method for assisting an Alzheimer's disease patient to find an item based on virtual reality, and to solve the problem that the prior art cannot assist an Alzheimer's disease patient to quickly find a desired item.
  • the present invention provides a virtual reality based assisted Alzheimer's disease patient a system of articles, running in a wearable device, the system comprising:
  • an amnesia monitoring module configured to monitor an electroencephalogram signal of an Alzheimer's disease patient by an EEG sensor disposed on the wearable device, and determine whether the patient is in a state of ambulatory amnesia according to the brain wave signal;
  • a realistic scene virtual module configured to: when the patient is in a state of amnesia, collect a realistic scene image of the patient by a video recorder disposed on the wearable device, and identify a behavior of the patient from the collected reality scene image. Action information, and matching virtual scene images related to the experience of the patient's stored items from the memory of the wearable device according to the behavioral action information;
  • an item location identification module configured to identify location information of the stored item of the patient from the virtual scene image
  • an item finger arch I module for controlling position information of the stored item stored on the speaker disposed on the wearable device to guide the patient to find the stored item.
  • the item location identification module is further configured to mark a location mark of the patient's stored item in the virtual scene image.
  • the searching for item guiding module is further configured to control a projector disposed on the wearable device to project a virtual scene marked with the position mark to the front of the patient to guide the patient to find the stored item.
  • the virtual scene image is pre-photographed by a patient's guardian and imported into the memory through a USB port of the wearable device.
  • amnesia monitoring module determines whether the patient is in a state of brain amnesia according to the brain wave signal by using the following steps:
  • the frequency band energy ratio method is used to analyze the spectrum of the characteristic band alpha wave, delta wave, theta wave and beta wave to determine whether the patient is in a state of brain amnesia.
  • the present invention also provides a method for assisting an Alzheimer's disease patient to find an item based on virtual reality, which is applied to a wearable device, and the method includes the steps of:
  • monitoring brain wave signals of patients with Alzheimer's disease by an EEG sensor disposed on the wearable device [0018] determining, according to the brain wave signal, whether the patient is in a state of brain amnesia;
  • the method further comprises the step of: marking a location mark of the patient's stored item in the virtual scene image.
  • the method further comprises the step of: controlling a projector disposed on the wearable device to project a virtual scene marked with the position marker to the front of the patient to direct the patient to find the stored item.
  • the virtual scene image is pre-photographed by a patient's guardian and imported into the memory through a USB port of the wearable device.
  • the step of determining whether the patient is in a state of brain amnesia according to the brain wave signal comprises the following steps:
  • the virtual reality-based system and method for assisting Alzheimer's disease patients to find articles adopts the above technical solutions, and achieves the following technical effects: capable of experiencing related virtual reality through virtual patient storage items The scene helps the patient to have amnesia and quickly find the items they need.
  • DRAWINGS Brief description of the drawing DRAWINGS
  • FIG. 1 is a functional block diagram of a preferred embodiment of a system for assisting an Alzheimer's disease patient to find an item based on virtual reality according to the present invention
  • FIG. 2 is a flow chart of a preferred embodiment of a flow chart of a preferred embodiment of a method for assisting an Alzheimer's patient to find an item based on virtual reality in accordance with the present invention.
  • FIG. 1 is a functional block diagram of a preferred embodiment of a system for assisting an Alzheimer's disease patient to find an item based on virtual reality in accordance with the present invention.
  • the virtual reality-based system 10 for assisting Alzheimer's patients to find an item is installed and operates in the wearable device 1, and the wearable device 1 includes, but is not limited to, an EEG sensor 11, a video.
  • the EEG sensor 11, the video recorder 12, the speaker 13, the projector 14, and the memory 15 are all connected to the microprocessor 16 via a data bus, and can be coupled to the virtual reality based processor 16
  • a system 10 that assists Alzheimer's patients in finding items performs information interaction.
  • the wearable device 1 can be integrated with a hat, a headband or a bib or the like worn by the patient on the head.
  • the EEG sensor 11 is a sensor for detecting a brain wave signal of a user, and is used for detecting a brain wave signal of a patient from a brain of a patient wearing the wearable device 1, and the EEG sensor 11
  • the patient's brainwave signal is collected from the area above the forehead of the patient's head.
  • the video recorder 12 can be a 360-degree rotating camera or a small image capturing device for capturing images of real scenes around the patient.
  • the speaker 13 can be a woofer, earphone or other sounding device for playing position information of the patient's stored items.
  • the projector 14 is a miniature image projection device for projecting a patient storage item into an associated virtual scene image to the front of the patient to guide the patient to find the stored item.
  • the storage The device 15 can be a read-only storage unit ROM, an electrically erasable storage unit EEPR0M or a flash storage unit FLASH and the like, for storing a plurality of virtual scene images related to the experience of the patient's stored items, such as a patient A scene image that stores items in the room.
  • the microprocessor 16 may be a central processing unit (CPU), a processor, a microcontroller (MCU), a data processing chip, or an information processing unit having data processing functions for performing the virtual reality based assisted elderly
  • the dementia patient seeks a system 10 of items to help the patient find the desired item.
  • the article is a household item that is often used in a patient's life, including but not limited to, teacups, shoes, socks, glasses, watches, and the like.
  • the virtual reality-based system for assisting Alzheimer's patients to find items includes, but is not limited to, the amnesia monitoring module 101, the reality scene virtual module 102, the item location identification module 103, and the search item guidance module 104.
  • module refers to a series of computer program instructions that can be executed by the microprocessor 16 of the wearable device 1 and that are capable of performing a fixed function, which is stored in the memory 15 of the infant car 1. .
  • the amnesia monitoring module 101 is configured to monitor an electroencephalogram signal of an Alzheimer's disease patient through the EEG sensor 11, and determine whether the patient is in a state of brain amnesia according to the brain wave signal. In general, in the early stages of Alzheimer's disease, there are often cases in which the mind is clear and the mind is clear and the mind is amnesia. This state is called the interstitial state of amnesia.
  • the amnesia monitoring module 101 determines whether the patient is in a state of brain amnesia according to the brain wave signal. The following steps are implemented: After the brain electrical sensor 11 collects the brain wave signal of the patient, the amnesia monitoring module 101 performs brain wave signal preprocessing to remove the brain wave signal. Interfere with the signal, and use the wavelet packet decomposition method to extract the characteristic bands of the brain wave signal, such as delta wave, theta wave, alpha wave, and beta wave.
  • the normalized energy relative monitoring method that is, the band energy ratio method
  • the energy ratio method of the band includes: 1) When the alpha wave is dominant, FBERa Equal to 0.8 to 1 unit, the mind is awake; 2) When FBE R (beta) > FBER (alpha) and FBER (alpha+beta) > FBER(theta+delta) ⁇ , the mind is in an amnesia state.
  • the real scene virtual module 102 is configured to collect a real scene image of the patient's side through the video recorder 12 when the patient is in a state of mind amnesia, and identify the behavioral action information of the patient from the collected real scene image.
  • the real scene image includes a realistic scene around the patient and the patient The image of the person himself.
  • the real scene virtual module 102 can identify the behavioral action information of the patient from the real scene image by using the existing image recognition technology, including the expression of the expression that the patient often looks for and the action of turning the thing with both hands.
  • the real scene virtual module 102 is further configured to match, from the memory 15 according to the behavior action information, a virtual scene image related to the experience of storing the item of the patient.
  • the memory 15 stores a plurality of virtual scene images that are related to the patient's stored items, for example, the scene image of the patient's flats often storing the items in the indoor location, and the virtual scene images are pre-shot by the guardian. And imported into the memory 15 through a USB port.
  • the item location identification module 103 is configured to identify location information of the stored item of the patient from the virtual scene image, and mark the location mark of the stored item in the virtual scene image. Specifically, the item position identification module 103 can identify the position information of the item stored by the patient according to the patient's flat position, and use the indicating arrow position mark to mark the position of the stored item in the virtual scene image. .
  • the finding item guiding module 104 is configured to control the position information of the speaker 13 to play the stored item to guide the patient to find the stored item, and to control the projector 14 to project the virtual scene marked with the position mark to the front of the patient to guide the patient to seek Stored items.
  • the search item directing module 104 can control the projector 14 to play the voice information to guide the patient to find the stored item, or control the projector 14 to project the virtual scene onto the indoor wall, the floor or the wardrobe wall in front of the patient to the front of the patient. Guide patients to find stored items, so as to help people with Alzheimer's disease to quickly find the items they need in the event of brain loss of memory.
  • the present invention also provides a method for assisting an Alzheimer's disease patient to find an item based on virtual reality, which is applied to a wearable device worn on a head of an Alzheimer's disease patient, and experiences a virtual reality by virtualizing the patient to store the item.
  • the scene helps the patient find the item they need quickly.
  • FIG. 2 is a flow chart of a preferred embodiment of a flow chart of a preferred embodiment of a preferred embodiment of the present invention for assisting Alzheimer's patients to find an item based on virtual reality.
  • the virtual reality-based method for assisting an Alzheimer's disease patient to find an item includes the following steps:
  • Step S21 monitoring brain wave signals of patients with Alzheimer's disease through an EEG sensor; specifically, amnesia
  • the monitoring module 101 monitors brain wave signals of patients with Alzheimer's disease through the EEG sensor 11.
  • This state is called the interstitial mind amnesia state.
  • Step S22 determining whether the patient is in a state of brain amnesia according to the brain wave signal; specifically, the amnesia monitoring module 101 determines whether the patient is in a state of brain amnesia according to the brain wave signal.
  • the step S22 includes the following steps: After the brain electrical sensor 11 collects the brain wave signal of the patient, the amnesia monitoring module 101 performs pre-processing of the brain wave signal to extract the interference signal, and extracts the interference signal by using the wavelet packet decomposition method. Characteristic bands of brainwave signals, such as delta waves, theta waves, alpha waves, and beta waves.
  • a normalized energy relative monitoring method can be adopted, that is, a frequency band energy ratio (FBER) method is used to analyze the spectrum of the characteristic band delta wave, theta wave, the alpha wave, and the beta wave to determine whether the patient is in amnesia.
  • the band energy ratio method includes: 1) When the alpha wave is dominant, FBERa is equal to 0.8 to 1 unit, the mind is awake; 2) when FBER (beta) > FBER (alpha) and FBER
  • step S21 If the patient is in a state of brain amnesia, the process proceeds to step S23; if the patient is not in a state of brain amnesia, the flow returns to step S21
  • Step S23 collecting a realistic scene image of the patient by using a video recorder; specifically, when the patient is in a state of brain amnesia, the reality scene virtual module 102 controls the video recorder 12 to perform 360-degree rotation to collect a realistic scene around the patient. image.
  • the video recorder 12 can capture a realistic scene image including a realistic scene around the patient and the patient's own image by 360 degree rotation.
  • Step S24 Identify behavioral action information of the patient from the collected reality scene image.
  • the real scene virtual module 102 can use the existing image recognition technology to identify the behavioral action information of the patient from the real scene image, including the expression of the patient's expression of the item and the movement of the two hands.
  • Step S25 matching the virtual scene image related to the patient storage item experience from the memory according to the behavior action information; specifically, the reality scene virtual module 102 matches the patient storage item experience from the memory 15 according to the behavior action information.
  • Virtual scene image the memory 15 stores a plurality of scenes of the patient's stored items experiencing related virtual scenes, such as a scene image in which the patient's flattening often stores the items in an indoor location, and the virtual scene images are pre-shot by the guardian. And passed The USB port of the wearable device 1 is imported into the memory 15.
  • Step S26 Identify location information of the item stored by the patient from the virtual scene image, and mark the location mark of the stored item in the virtual scene image.
  • the item position identification module 103 identifies the position information of the item stored by the patient from the virtual scene image, and marks the position mark of the stored item in the virtual scene image. Specifically, the item position identification module 103 can identify the position information of the item stored by the patient according to the patient's flattening and often store the item in the indoor location, and mark the position of the stored item in the virtual scene image by using the pointing arrow position mark.
  • Step S27 controlling the speaker to play the position information of the stored item means or controlling the projector to project the virtual scene marked with the position mark to the front of the patient to guide the patient to find the stored item.
  • the finding item directing module 104 controls the speaker 13 to play the position information of the stored item to refer to the patient to find the stored item, or to control the projector 14 to project the virtual scene marked with the position mark to the front of the patient to guide the patient to find the stored item.
  • the search item directing module 104 can control the projector 14 to play the voice information to guide the patient to find the stored item, or control the projector 14 to project the virtual scene onto the indoor wall, the floor or the wardrobe wall in front of the patient to the front of the patient. Guide patients to find stored items, so as to help people with Alzheimer's disease to lose their sense of mind and quickly find the items they need.
  • the virtual reality-based system and method for assisting Alzheimer's disease patients to find articles adopts the above technical solutions, and achieves the following technical effects: capable of experiencing related virtual reality through virtual patient storage items The scene helps the patient to have amnesia and quickly find the items they need.

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Abstract

本发明公开一种基于虚拟现实的辅助老年痴呆症患者寻找物品的系统及方法，应用在可穿戴设备中，该方法包括步骤：通过脑电传感器监测老年痴呆症患者的脑电波信号；根据脑电波信号判断患者是否处于头脑失忆状态；当患者处于头脑失忆状态时，通过视频记录仪采集患者身边的现实场景影像；从采集的现实场景影像中识别出患者的行为动作信息；根据行为动作信息从存储器中匹配出与患者存放物品经历相关的虚拟场景影像；从虚拟场景影像中识别出患者存放物品的位置信息；控制扬声器播放存放物品的位置信息来指引患者寻找存放的物品。实施本发明，能够通过虚拟患者存放物品经历相关的虚拟场景来辅助患者快速找到自己所需物品。

Description

基于虚拟现实的辅助老年痴呆症患者寻找物品的系统及 方法
技术领域
[0001] 本发明涉及老年健康护理领域， 尤其涉及一种基于虚拟现实的辅助老年痴呆症 患者寻找物品的系统及方法。
背景技术
[0002] 老年痴呆症 （又称 "阿尔茨海默病"） 是一种会导致记忆力、 执行力、 视觉空间 、 语言交流、 抽象思维、 学习和计算等多方面大脑认知功能障碍的神经退行性 疾病。 老年痴呆症常发生在老年期或者老年前期， 患病风险随着年齢增长而增 力口。 记忆障碍往往出现在老年痴呆症早期， 尤其是近记忆障碍较为严重， 患者 在几小吋甚至数分钟前发生的事情都无法回忆。 在老年痴呆症早期， 常常表现 为吋而头脑清醒吋而出现头脑失忆近事遗忘的情况， 这种状态称谓间隙性头脑 失忆状态。 在患者日常生活中， 通常需要寻找自己几小吋甚至数分钟前放置的 物品， 例如茶杯、 鞋子、 袜子、 眼镜、 手表等。 然而， 由于患者吋而出现近记 忆障碍而无法回想起自己放置物品的具体位置， 导致患者无法找不到自己所需 的物品而产生焦虑心理， 从而进一步加深了患者的病情。 因此， 有必要提供一 种用于辅助老年痴呆症患者寻找物品的系统及方法， 来帮助患者出速找到自己 所需物品。
技术问题
[0003] 本发明的主要目的在于提供一种基于虚拟现实的辅助老年痴呆症患者寻找物品 的系统及方法， 旨在解决现有技术不能辅助老年痴呆症患者快速找到自己所需 物品的问题。
问题的解决方案
技术解决方案
[0004] 为实现上述目的， 本发明提供了一种基于虚拟现实的辅助老年痴呆症患者寻找 物品的系统， 运行于可穿戴设备中， 所述系统包括：
[0005] 失忆监测模块， 用于通过设置在所述可穿戴设备上的脑电传感器监测老年痴呆 症患者的脑电波信号， 以及根据所述脑电波信号判断患者是否处于头脑失忆状 态；
[0006] 现实场景虚拟模块， 用于当患者处于头脑失忆状态吋通过设置在所述可穿戴设 备上的视频记录仪采集患者身边的现实场景影像， 从采集的现实场景影像中识 别出患者的行为动作信息， 以及根据行为动作信息从可穿戴设备的存储器中匹 配出与患者存放物品经历相关的虚拟场景影像；
[0007] 物品位置识别模块， 用于从所述虚拟场景影像中识别出患者存放物品的位置信 息；
[0008] 寻找物品指弓 I模块， 用于控制设置在所述可穿戴设备上的扬声器播放存放物品 的位置信息来指引患者寻找存放的物品。
[0009] 优选的， 所述物品位置识别模块还用于在所述虚拟场景影像中标示出患者存放 物品的位置标记。
[0010] 优选的， 所述寻找物品指引模块还用于控制设置在所述可穿戴设备上的投影仪 将标示有所述位置标记的虚拟场景投射到患者前方指引患者寻找存放的物品。
[0011] 优选的， 所述虚拟场景影像是由患者的监护者预先拍摄制作并通过所述可穿戴 设备的 USB端口导入到所述存储器中。
[0012] 进一步地， 所述失忆监测模块根据所述脑电波信号判断患者是否处于头脑失忆 状态通过如下步骤实现：
[0013] 将采集的脑电波信号进行预处理来剔出干扰信号；
[0014] 利用小波包分解法提取脑电波信号的特征波段 alpha波、 delta波、 theta波和 beta 波；
[0015] 采用频带能量比例值法分析特征波段 alpha波、 delta波、 theta波和 beta波的频谱 来判断患者是否处于头脑失忆状态。
[0016] 本发明还提供了一种基于虚拟现实的辅助老年痴呆症患者寻找物品的方法， 应 用于可穿戴设备中， 所述方法包括步骤：
[0017] 通过设置在所述可穿戴设备上的脑电传感器监测老年痴呆症患者的脑电波信号 [0018] 根据所述脑电波信号判断患者是否处于头脑失忆状态；
[0019] 当患者处于头脑失忆状态吋， 通过设置在所述可穿戴设备上的视频记录仪采集 患者身边的现实场景影像；
[0020] 从采集的现实场景影像中识别出患者的行为动作信息；
[0021] 根据行为动作信息从可穿戴设备的存储器中匹配出与患者存放物品经历相关的 虚拟场景影像；
[0022] 从所述虚拟场景影像中识别出患者存放物品的位置信息；
[0023] 控制设置在所述可穿戴设备上的扬声器播放存放物品的位置信息来指引患者寻 找存放的物品。
[0024] 优选的， 该方法还包括步骤： 在所述虚拟场景影像中标示出患者存放物品的位 置标记。
[0025] 优选的， 该方法还包括步骤： 控制设置在所述可穿戴设备上的投影仪将标示有 所述位置标记的虚拟场景投射到患者前方指引患者寻找存放的物品。
[0026] 优选的， 所述虚拟场景影像是由患者的监护者预先拍摄制作并通过所述可穿戴 设备的 USB端口导入到所述存储器中。
[0027] 优选的， 所述根据所述脑电波信号判断患者是否处于头脑失忆状态的步骤包括 如下步骤：
[0028] 将采集的脑电波信号进行预处理来剔出干扰信号；
[0029] 利用小波包分解法提取脑电波的特征波段 alpha波、 delta波、 theta波和 beta波； [0030] 采用频带能量比例值法分析特征波段 alpha波、 delta波、 theta波和 beta波的频谱 来判断患者是否处于头脑失忆状态。
发明的有益效果
有益效果
[0031] 相较于现有技术， 本发明所述基于虚拟现实的辅助老年痴呆症患者寻找物品的 系统及方法采用上述技术方案， 达到了如下技术效果： 能够通过虚拟患者存放 物品经历相关的虚拟场景来辅助患者出现头脑失忆吋快速找到自己所需物品。 对附图的简要说明 附图说明
[0032] 图 1是本发明基于虚拟现实的辅助老年痴呆症患者寻找物品的系统优选实施例 的功能模块示意图；
[0033] 图 2是本发明基于虚拟现实的辅助老年痴呆症患者寻找物品的方法优选实施例 的流程图优选实施例的流程图。
[0034] 本发明目的实现、 功能特点及优点将结合实施例， 参照附图做进一步说明。
实施该发明的最佳实施例
本发明的最佳实施方式
[0035] 为更进一步阐述本发明为达成上述目的所采取的技术手段及功效， 以下结合附 图及较佳实施例， 对本发明的具体实施方式、 结构、 特征及其功效进行详细说 明。 应当理解， 此处所描述的具体实施例仅仅用以解释本发明， 并不用于限定 本发明。
[0036] 参照图 1所示， 图 1是本发明基于虚拟现实的辅助老年痴呆症患者寻找物品的系 统优选实施例的功能模块示意图。 在本实施例中， 所述基于虚拟现实的辅助老 年痴呆症患者寻找物品的系统 10安装并运行于可穿戴设备 1中， 所述可穿戴设备 1包括， 但不仅限于， 脑电传感器 11、 视频记录仪 12、 扬声器 13、 投影仪 14、 存 储器 15以及微处理器 16。 所述脑电传感器 11、 视频记录仪 12、 扬声器 13、 投影 仪 14、 存储器 15均通过数据总线连接至所述微处理器 16上， 并能通过微处理器 1 6与所述基于虚拟现实的辅助老年痴呆症患者寻找物品的系统 10进行信息交互。 在本实施例中， 所述可穿戴设备 1可以集成在患者佩戴在头上的帽子、 头带或围 脖等。
[0037] 所述脑电传感器 11是一种侦测使用者脑电波信号的感测器， 用于从佩戴有可穿 戴设备 1的患者脑部侦测出患者的脑电波信号， 脑电传感器 11从患者头部额头上 方区域采集患者的脑电波信号。 所述视频记录仪 12可以是一种可以 360度旋转的 摄像头或者小型影像摄取装置， 用于采集患者身边的现实场景影像。 所述扬声 器 13可以为一种低音喇叭、 耳机或者其它发声装置， 用于播放患者存放物品的 位置信息。 所述投影仪 14是一种微型影像投影装置， 用于将患者存放物品经历 相关的虚拟场景影像投射到患者前面， 以指引患者寻找存放的物品。 所述存储 器 15可以为一种只读存储单元 ROM, 电可擦写存储单元 EEPR0M或快闪存储单 元 FLASH等存储单元， 用于存储多个与患者存放物品经历相关的虚拟场景影像 ， 例如患者平吋经常将物品存放在室内的场景影像。 所述微处理器 16可以为中 央处理器 （CPU) 、 处理器、 微控制器 （MCU) 、 数据处理芯片、 或者具有数 据处理功能的信息处理单元， 用于执行所述基于虚拟现实的辅助老年痴呆症患 者寻找物品的系统 10以便帮助患者寻找所需的物品。 所述物品为患者生活中经 常使用的家居物品， 包括但不仅限于， 茶杯、 鞋子、 袜子、 眼镜、 手表等。
[0038] 所述基于虚拟现实的辅助老年痴呆症患者寻找物品的系统 10包括， 但不仅局限 于， 失忆监测模块 101、 现实场景虚拟模块 102、 物品位置识别模块 103以及寻找 物品指引模块 104。 本发明所称的模块是指一种能够被所述可穿戴设备 1的微处 理器 16执行并且能够完成固定功能的一系列计算机程序指令段， 其存储在所述 婴幼儿车 1的存储器 15中。
[0039] 所述失忆监测模块 101用于通过脑电传感器 11监测老年痴呆症患者的脑电波信 号， 并根据脑电波信号判断患者是否处于头脑失忆状态。 一般地， 在患者出现 老年痴呆症早期， 会经常出现吋而头脑清醒吋而出现头脑失忆近事遗忘的情况 ， 这种状态称谓间隙性头脑失忆状态。 所述失忆监测模块 101根据所述脑电波信 号判断患者是否处于头脑失忆状态通过如下步骤实现： 当脑电传感器 11采集患 者的脑电波信号后， 失忆监测模块 101进行脑电波信号预处理来剔出干扰信号， 并利用小波包分解法提取脑电波信号的特征波段， 例如 delta波、 theta波、 alpha 波、 beta波。 本实施例可采取归一化能量相对监测法， 即采用频带能量比例值法
(Frequency Band Energy Ratio, FBER) 分析特征波段 delta波、 theta波、 alpha波 、 beta波的频谱来判断患者是否处于头脑失忆状态， 该频带能量比例值法包括： 1) 当 alpha波为主， FBERa等于 0.8至 1单位之间， 头脑处于清醒状态； 2) 当 FBE R (beta) >FBER (alpha) 且 FBER (alpha+beta) > FBER(theta+delta)吋， 头脑 处于失忆状态。
[0040] 所述现实场景虚拟模块 102用于当患者处于头脑失忆状态吋通过视频记录仪 12 采集患者身边的现实场景影像， 并从采集的现实场景影像中识别出患者的行为 动作信息。 在本实施例中， 所述现实场景影像包括患者身边的现实场景以及患 者本身的影像。 所述现实场景虚拟模块 102可以采用现有的影像识别技术从现实 场景影像中识别出患者的行为动作信息， 包括患者寻找物品常表现出来的神态 表情以及双手翻东西的动作。
[0041] 所述现实场景虚拟模块 102还用于根据行为动作信息从存储器 15中匹配出与患 者存放物品经历相关的虚拟场景影像。 在本实施例中， 所述存储器 15存储有多 幅患者存放物品经历相关的虚拟场景影像， 例如患者平吋经常将物品存放在室 内地点的场景影像， 所述虚拟场景影像由监护者预先拍摄制作并通过 USB端口导 入到所述存储器 15中。
[0042] 所述物品位置识别模块 103用于从所述虚拟场景影像中识别出患者存放物品的 位置信息， 并在该虚拟场景影像中标示出存放物品的位置标记。 具体地， 所述 物品位置识别模块 103可以根据患者平吋经常将物品存放在室内地点来识别出患 者存放物品的位置信息， 并采用指示箭头位置标记将存放物品的位置在虚拟场 景影像中标示出来。
[0043] 所述寻找物品指引模块 104用于控制扬声器 13播放存放物品的位置信息指来引 患者寻找存放的物品， 以及控制投影仪 14将标示有位置标记的虚拟场景投射到 患者前方指引患者寻找存放的物品。 在本实施例中， 寻找物品指引模块 104可以 控制投影仪 14播放语音信息来指引患者寻找存放的物品， 或者控制投影仪 14将 虚拟场景投射到患者前方的室内墙壁、 地板或者衣柜壁上来患者前方指引患者 寻找存放的物品， 从而达到帮助老年痴呆症患者在出现头脑失忆吋快速找到自 己所需物品的效果。
[0044]
[0045] 本发明还提供了一种基于虚拟现实的辅助老年痴呆症患者寻找物品的方法， 应 用于佩戴在老年痴呆症患者头上的可穿戴设备中， 通过虚拟出患者存放物品经 历相关的虚拟场景来辅助患者快速找到自己所需物品。
[0046] 如图 2所示， 图 2是本发明基于虚拟现实的辅助老年痴呆症患者寻找物品的方法 优选实施例的流程图优选实施例的流程图。 在本实施例中， 参考图 1所示， 所述 基于虚拟现实的辅助老年痴呆症患者寻找物品的方法包括步骤：
[0047] 步骤 S21， 通过脑电传感器监测老年痴呆症患者的脑电波信号； 具体地， 失忆 监测模块 101通过脑电传感器 11监测老年痴呆症患者的脑电波信号。 通常地， 在 患者出现老年痴呆症早期， 会经常出现吋而头脑清醒吋而出现头脑失忆近事遗 忘的情况， 这种状态称谓间隙性头脑失忆状态。
[0048] 步骤 S22， 根据脑电波信号判断患者是否处于头脑失忆状态； 具体地， 失忆监 测模块 101根据脑电波信号判断患者是否处于头脑失忆状态。 在本实施例中， 所 述步骤 S22包括如下步骤： 当脑电传感器 11采集患者的脑电波信号后， 失忆监测 模块 101进行脑电波信号预处理来剔出干扰信号， 并利用小波包分解法提取脑电 波信号的特征波段， 例如 delta波、 theta波、 alpha波和 beta波。 本实施例可采取归 一化能量相对监测法， 即采用频带能量比例值法 （Frequency Band Energy Ratio, FBER) 分析特征波段 delta波、 theta波、 alpha波和 beta波的频谱来判断患者是否 处于失忆状态， 该频带能量比例值法包括： 1) 当 alpha波为主， FBERa等于 0.8至 1单位之间， 头脑处于清醒状态； 2) 当 FBER (beta) >FBER (alpha) 且 FBER
(alpha+beta) > FBER(theta+delta)吋， 头脑处于失忆状态。 若患者处于头脑失忆 状态， 则流程执行步骤 S23 ; 若患者未处于头脑失忆状态， 则流程返回步骤 S21
[0049] 步骤 S23， 通过视频记录仪采集患者身边的现实场景影像； 具体地， 当患者处 于头脑失忆状态吋， 现实场景虚拟模块 102控制视频记录仪 12进行 360度旋转来 采集患者身边的现实场景影像。 在本实施例中， 所述视频记录仪 12通过 360度旋 转可以摄取到包括患者身边的现实场景以及患者本身影像的现实场景影像。
[0050] 步骤 S24， 从采集的现实场景影像中识别出患者的行为动作信息。 在本实施例 中， 现实场景虚拟模块 102可以采用现有的影像识别技术从现实场景影像中识别 出患者的行为动作信息， 包括患者寻找物品常表现出来的神态表情以及双手翻 东西的动作。
[0051] 步骤 S25， 根据行为动作信息从存储器中匹配出与患者存放物品经历相关的虚 拟场景影像； 具体地， 现实场景虚拟模块 102根据行为动作信息从存储器 15中匹 配出与患者存放物品经历相关的虚拟场景影像。 在本实施例中， 所述存储器 15 存储有多幅患者存放物品经历相关的虚拟场景影像， 例如患者平吋经常将物品 存放在室内地点的场景影像， 所述虚拟场景影像由监护者预先拍摄制作并通过 所述可穿戴设备 1的 USB端口导入到所述存储器 15中。
[0052] 步骤 S26， 从虚拟场景影像中识别出患者存放物品的位置信息， 并在虚拟场景 影像中标示出存放物品的位置标记。 在本实施例中， 物品位置识别模块 103从所 述虚拟场景影像中识别出患者存放物品的位置信息， 并在该虚拟场景影像中标 示出存放物品的位置标记。 具体地， 物品位置识别模块 103可以根据患者平吋经 常将物品存放在室内地点来识别出患者存放物品的位置信息， 并采用指示箭头 位置标记将存放物品的位置在虚拟场景影像中标示出来。
[0053] 步骤 S27， 控制扬声器播放存放物品的位置信息指或者控制投影仪将标示有位 置标记的虚拟场景投射到患者前方指引患者寻找存放的物品。 具体地， 寻找物 品指引模块 104控制扬声器 13播放存放物品的位置信息指来引患者寻找存放的物 品， 或者控制投影仪 14将标示有位置标记的虚拟场景投射到患者前方指引患者 寻找存放的物品。 在本实施例中， 寻找物品指引模块 104可以控制投影仪 14播放 语音信息来指引患者寻找存放的物品， 或者控制投影仪 14将虚拟场景投射到患 者前方的室内墙壁、 地板或者衣柜壁上来患者前方指引患者寻找存放的物品， 从而达到帮助老年痴呆症患者出现头脑失忆吋快速找到自己所需物品的效果。
[0054]
[0055] 以上仅为本发明的优选实施例， 并非因此限制本发明的专利范围， 凡是利用本 发明说明书及附图内容所作的等效结构或等效功能变换， 或直接或间接运用在 其他相关的技术领域， 均同理包括在本发明的专利保护范围内。
工业实用性
[0056] 相较于现有技术， 本发明所述基于虚拟现实的辅助老年痴呆症患者寻找物品的 系统及方法采用上述技术方案， 达到了如下技术效果： 能够通过虚拟患者存放 物品经历相关的虚拟场景来辅助患者出现头脑失忆吋快速找到自己所需物品。

Claims

权利要求书
一种基于虚拟现实的辅助老年痴呆症患者寻找物品的系统， 运行于可 穿戴设备中， 其特征在于， 该系统包括： 失忆监测模块， 用于通过设 置在所述可穿戴设备上的脑电传感器监测老年痴呆症患者的脑电波信 号， 以及根据所述脑电波信号判断患者是否处于头脑失忆状态； 现实 场景虚拟模块， 用于当患者处于头脑失忆状态吋通过设置在所述可穿 戴设备上的视频记录仪采集患者身边的现实场景影像， 从采集的现实 场景影像中识别出患者的行为动作信息， 以及根据行为动作信息从可 穿戴设备的存储器中匹配出与患者存放物品经历相关的虚拟场景影像 ； 物品位置识别模块， 用于从所述虚拟场景影像中识别出患者存放物 品的位置信息； 寻找物品指引模块， 用于控制设置在所述可穿戴设备 上的扬声器播放存放物品的位置信息来指弓 I患者寻找存放的物品。 如权利要求 1所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 系统， 其特征在于， 所述物品位置识别模块还用于在所述虚拟场景影 像中标示出患者存放物品的位置标记。
如权利要求 2所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 系统， 其特征在于， 所述寻找物品指引模块还用于控制设置在所述可 穿戴设备上的投影仪将标示有所述位置标记的虚拟场景投射到患者前 方指引患者寻找存放的物品。
如权利要求 1所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 系统， 其特征在于， 所述虚拟场景影像是由患者的监护者预先拍摄制 作并通过所述可穿戴设备的 USB端口导入到所述存储器中。
如权利要求 1至 4任一项所述的基于虚拟现实的辅助老年痴呆症患者寻 找物品的系统， 其特征在于， 所述失忆监测模块根据所述脑电波信号 判断患者是否处于头脑失忆状态通过如下步骤实现： 将采集的脑电波 信号进行预处理来剔出干扰信号； 利用小波包分解法提取脑电波信号 的特征波段 alpha波、 delta波、 theta波和 beta波； 采用频带能量比例值 法分析特征波段 alpha波、 delta波、 theta波和 beta波的频谱来判断患者 是否处于头脑失忆状态。
一种基于虚拟现实的辅助老年痴呆症患者寻找物品的方法， 应用于可 穿戴设备中， 其特征在于， 该方法包括步骤： 通过设置在所述可穿戴 设备上的脑电传感器监测老年痴呆症患者的脑电波信号； 根据所述脑 电波信号判断患者是否处于头脑失忆状态； 当患者处于头脑失忆状态 吋， 通过设置在所述可穿戴设备上的视频记录仪采集患者身边的现实 场景影像； 从采集的现实场景影像中识别出患者的行为动作信息； 根 据行为动作信息从可穿戴设备的存储器中匹配出与患者存放物品经历 相关的虚拟场景影像； 从所述虚拟场景影像中识别出患者存放物品的 位置信息； 控制设置在所述可穿戴设备上的扬声器播放存放物品的 位置信息来指引患者寻找存放的物品。
如权利要求 6所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 方法， 其特征在于， 该方法还包括步骤： 在所述虚拟场景影像中标示 出患者存放物品的位置标记。
如权利要求 7所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 方法， 其特征在于， 该方法还包括步骤： 控制设置在所述可穿戴设备 上的投影仪将标示有所述位置标记的虚拟场景投射到患者前方指引患 者寻找存放的物品。
如权利要求 7所述的基于虚拟现实的辅助老年痴呆症患者寻找物品的 方法， 其特征在于， 所述虚拟场景影像是由患者的监护者预先拍摄制 作并通过所述可穿戴设备的 USB端口导入到所述存储器中。
如权利要求 1至 4任一项所述的基于虚拟现实的辅助老年痴呆症患者寻 找物品的方法， 其特征在于， 所述根据所述脑电波信号判断患者是否 处于头脑失忆状态的步骤包括如下步骤： 将采集的脑电波信号进行预 处理来剔出干扰信号； 利用小波包分解法提取脑电波的特征波段 alph a波、 delta波、 theta波和 beta波； 采用频带能量比例值法分析特征波段 alpha波、 delta波、 theta波和 beta波的频谱来判断患者是否处于头脑失 忆状态。
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