WO2018023512A1 - 一种多维识别家居控制方法 - Google Patents
一种多维识别家居控制方法 Download PDFInfo
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- the invention relates to the field of smart home technology, and more particularly to a multi-dimensional identification home control method.
- Smart home is the embodiment of materialization under the influence of the Internet. Smart Home connects various devices in the home through IoT technology, providing home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, burglar alarm, environmental monitoring, HVAC control, infrared forwarding and programmable timing control. Functions and means. Compared with ordinary homes, smart homes not only have traditional living functions, but also combine construction, network communication, information appliances, equipment automation, and integrate efficient systems, structures, services and management into a highly efficient, comfortable, safe, convenient and environmentally friendly living environment. Provide a full range of information interaction functions to help families and the outside to maintain information exchange, optimize people's lifestyles, help people to effectively arrange time, enhance the safety of home life, and even save money for various energy costs.
- the technical problem to be solved by the present invention is to provide a multi-dimensional identification home control method for the above-mentioned drawbacks of the prior art.
- the current recognition state includes: a first recognition state that is determined only according to the gesture recognition, a second recognition state that is only determined according to the emotion recognition, and a judgment according to the gesture and the emotion recognition Third identification state;
- the gesture recognition result is used as the first parameter
- the emotion recognition result is used as the second parameter
- the comprehensive judgment information is output according to the preset determination formula
- the home is controlled according to the comprehensive judgment information.
- the multi-dimensional identification home control method wherein when the current recognition state is the first recognition state, the comprehensive judgment information is directly output according to the gesture recognition result.
- the multi-dimensional identification home control method wherein when the current recognition state is the second recognition state, the comprehensive judgment information is directly output according to the emotion recognition result.
- the multi-dimensional identification home control method of the present invention wherein the gesture recognition module is connected with a gesture recognition enhancement glove for enhancing a gesture signal.
- the multi-dimensional identification home control method of the present invention wherein the gesture recognition enhancement glove has an infrared light source built therein, and the outer surface of the gesture recognition reinforcement glove is provided with a plurality of small holes to facilitate the infrared light emitted by the infrared light source.
- the identification of the gesture of the user by the gesture recognition module is further enhanced.
- the multi-dimensional identification home control method wherein the emotion recognition comprises derogatory emotion recognition and derogatory emotion recognition.
- the multi-dimensional identification home control method of the present invention further includes the steps of:
- the multi-dimensional identification home control method of the present invention wherein the method for performing speech tonal emotion recognition comprises the steps of:
- the second emotion recognition result is generated by a preset semantic sentiment analysis method according to word similarity.
- the multi-dimensional identification home control method wherein the semantic similarity calculation method respectively calculates the word similarity between the words in the text information and the derogatory seed words, and the words and the meanings in the text information The word similarity of the seed word.
- the invention has the beneficial effects that the smart home control is adopted by adopting the recognition mode combining the emotion recognition and the gesture recognition mode, and the user is provided with various options, so that the use of the smart home is more humanized.
- FIG. 1 is a flow chart of a multi-dimensional identification home control method according to a preferred embodiment of the present invention
- FIG. 2 is a block diagram showing the principle of a multi-dimensional identification home control method in accordance with a preferred embodiment of the present invention.
- the flow of the multi-dimensional identification home control method in the preferred embodiment of the present invention is as shown in FIG. 1 , and includes the steps of:
- Step S101 Acquire external voice information, perform voice tone emotion recognition on the voice information, generate a first emotion recognition result, convert the voice information into text information, perform semantic emotion recognition on the text information to generate a second emotion Identifying a result, based on the first emotion recognition result and the second emotion recognition result, generating a user emotion recognition result according to the predetermined emotion recognition result judgment method;
- Step S102 Acquire external video information, perform image recognition on the video information, and determine an input gesture shape.
- Step S103 Acquire a setting parameter input by the user, and generate current identification state information.
- the current recognition state includes: a first recognition state that is determined only according to the gesture recognition, a second recognition state that is only determined according to the emotion recognition, and a gesture and an emotion according to the gesture. Identifying a third recognition state for making a determination;
- Step S104 When the current recognition state is the third recognition state, the gesture recognition result is used as the first parameter, and the emotion recognition result is used as the second parameter, and the comprehensive judgment information is output according to the preset determination formula.
- the comprehensive judgment information is directly output according to the gesture recognition result; when the current recognition state is the second recognition state, the straight The comprehensive judgment information is output according to the emotion recognition result.
- the gesture recognition enhancement glove has an infrared light source built therein, and the outer surface of the gesture recognition reinforcement glove is provided with a plurality of small holes to facilitate the transmission of infrared light emitted by the infrared light source to enhance the
- the gesture recognition module identifies the gesture of the user.
- the emotion recognition includes derogatory emotion recognition and derogatory emotion recognition.
- the multi-dimensional identification home control method of the present invention further includes the steps of:
- the multi-dimensional identification home control method of the present invention wherein the method for performing speech tonal emotion recognition comprises the steps of:
- the word similarity between the words in the text information and the derogatory seed words and the derogatory seed words in the sentiment dictionary are respectively calculated; and according to the similarity of the words, the second emotion recognition result is generated by a preset semantic sentiment analysis method.
- the word similarity between the word in the text information and the derogatory seed word is calculated according to the semantic similarity calculation method, and the words in the text information are similar to the words of the derogatory seed word. degree.
- FIG. 2 The block diagram of the multi-dimensional identification home control system of the preferred embodiment of the present invention is shown in FIG. 2, which includes: a gesture recognition module, an emotion recognition judgment module, an audio signal acquisition module, a video signal acquisition module, an integrated information processing module, a control module, and a wireless
- the control module is electrically connected to the wireless transceiver module through the control module; the integrated information processing module is configured to comprehensively process the gesture recognition result and the emotion recognition result, and obtain comprehensive judgment information, and control each smart home device to perform corresponding according to the comprehensive judgment information. Operation.
- smart home control is implemented by using a combination of emotion recognition and gesture recognition modes, and the user is provided with various options, so that the use of the smart home is more humanized.
- the integrated information processing module includes: an identification state determining unit, configured to determine a current recognition state according to the user setting input parameter, wherein the current recognition state includes: a first recognition state that is determined only according to the gesture recognition, The third recognition state in which the judgment is made based only on the emotion recognition, and the third recognition state in which the judgment is made based on the gesture and the emotion recognition.
- the integrated information processing module further includes: a comprehensive judgment information generating unit, configured to use the gesture recognition result as the first parameter and the emotion recognition result as the second when the current recognition state is the third recognition state
- the parameter outputs the comprehensive judgment information according to the preset judgment formula.
- the emotion recognition determination module includes: a first emotion recognition unit configured to perform voice tone emotion recognition on the voice information to generate a first emotion recognition result; and a second emotion recognition unit configured to convert the voice information After the text information, the semantic emotion recognition is performed on the text information to generate a second emotion recognition result; the emotion recognition result output unit is configured to determine the system generation user according to the predetermined emotion recognition result based on the first emotion recognition result and the second emotion recognition result. Emotion recognition results.
- the gesture recognition module is connected with a gesture recognition enhancement glove.
- the gesture recognition enhancement glove has an infrared light source built therein, and the outer surface of the gesture recognition enhancement glove is provided with a plurality of small holes to facilitate the transmission of infrared light emitted by the infrared light source to enhance the recognition of the gesture of the gesture by the gesture recognition module.
- emotion recognition includes derogatory emotion recognition and derogatory emotion recognition do not.
- a number of derogatory seed words and a number of derogatory seed words are selected to generate an sentiment dictionary; the word similarity between the words in the text information and the derogatory seed words and the derogatory seed words in the sentiment dictionary are respectively calculated;
- the semantic emotion analysis system is configured to generate the second emotion recognition result.
- the word similarity between the word in the text information and the derogatory seed word and the word similarity between the word in the text information and the derogatory seed word may be respectively calculated according to a semantic similarity calculation system.
- the step of generating the second emotion recognition result by using the preset semantic sentiment analysis system is: calculating the word sentiment tendency value by using the word sentiment tendency formula: when the word sentiment tendency value is greater than the predetermined When the threshold value is determined, the words in the text information are judged as derogatory emotions; when the word sentiment tendency value is less than a predetermined threshold, the words in the text information are judged as derogatory emotions.
- the emotion recognition judgment module includes: a third emotion recognition unit, configured to perform image recognition judgment on the facial image information acquired by the video signal acquisition module, and generate a third emotion recognition result.
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Abstract
一种多维识别家居控制方法，包括：手势识别模块（40）、情感识别判断模块（30）、音频信号采集模块（10）、视频信号采集模块（20）、综合信息处理模块（50）、控制模块（60）、无线收发模块（70）；手势识别模块（40）、情感识别判断模块（30）与综合信息处理模块（50）电连接；音频信号采集模块（10）与情感识别判断模块连接（30）；视频信号采集模块（20）与手势识别模块（40）和情感识别判断模块（30）连接；综合信息处理模块（50）通过控制模块（60）与无线收发模块（70）电连接；综合信息处理模块（50），对手势识别结果、情感识别结果进行综合处理，得出综合判断信息，并根据该综合判断信息控制各智能家居设备执行相应的操作。给用户提供了多种选择，使得智能家居的使用控制更加人性化。
Description
本发明涉及智能家居技术领域，更具体地说，涉及一种多维识别家居控制方法。
智能家居是在互联网的影响之下物联化的体现。智能家居通过物联网技术将家中的各种设备连接到一起，提供家电控制、照明控制、电话远程控制、室内外遥控、防盗报警、环境监测、暖通控制、红外转发以及可编程定时控制等多种功能和手段。与普通家居相比，智能家居不仅具有传统的居住功能，兼备建筑、网络通信、信息家电、设备自动化，集系统、结构、服务、管理为一体的高效、舒适、安全、便利、环保的居住环境，提供全方位的信息交互功能，帮助家庭与外部保持信息交流畅通，优化人们的生活方式，帮助人们有效安排时间，增强家居生活的安全性，甚至为各种能源费用节约资金。
随着智能家居的越来越普及，单一的识别控制模式已经不能满足人们的需要。
发明内容
本发明要解决的技术问题在于，针对现有技术的上述缺陷，提供一种多维识别家居控制方法。
本发明解决其技术问题所采用的技术方案是：
构造一种多维识别家居控制方法，其中，包括步骤：
获取外部语音信息，对所述语音信息进行语音音调情感识别，生成第一情感识别结果，将所述语音信息转换为文字信息后，对所述文字信息进行语义情感识别生成第二情感识别结果，基于所述第一情感识别结果和第二情感识别结果，根据预定的情感识别结果判断方法生成用户情感识别结果；
获取外部视频信息，对所述视频信息进行图像识别，判断输入手势形状；
获取用户输入的设置参数，生成当前识别状态信息；当前识别状态包括：只根据手势识别进行判断的第一识别状态、只根据情感识别进行判断的第二识别状态、同时根据手势和情感识别进行判断的第三识别状态；
在当前识别状态为第三识别状态时，将手势识别结果作为第一参数、将情感识别结果作为第二参数，根据预设的判断公式输出综合判断信息；
根据所述综合判断信息对家居进行控制。
本发明所述的多维识别家居控制方法，其中，在当前识别状态为第一识别状态时，直接根据手势识别结果输出综合判断信息。
本发明所述的多维识别家居控制方法，其中，在当前识别状态为第二识别状态时，直接根据情感识别结果输出综合判断信息。
本发明所述的多维识别家居控制方法，其中，所述手势识别模块连接有用于增强手势信号的手势识别增强手套。
本发明所述的多维识别家居控制方法，其中，所述手势识别增强手套内置红外光源，且所述手势识别增强手套的外表面设置有多个小孔以利于所述红外光源发射出的红外光透过进而增强所述手势识别模块对用户的手势的识别。
本发明所述的多维识别家居控制方法，其中，所述情感识别包括褒义情感识别和贬义情感识别。
本发明所述的多维识别家居控制方法，其中，还包括步骤：
对所述视频信号采集模块获取的面部图像信息进行图像识别判断，生成第三情感识别结果。
本发明所述的多维识别家居控制方法，其中，所述进行语音音调情感识别的方法包括步骤：
选定若干个褒义种子词和若干个贬义种子词生成情感词典；
分别计算文字信息中的词语与情感词典中的褒义种子词和贬义种子词的词语相似度；
根据词语相似度，通过预设的语义情感分析方法生成所述第二情感识别结果。
本发明所述的多维识别家居控制方法，其中，根据语义相似度计算方法分别计算所述文字信息中的词语与所述褒义种子词的词语相似度以及所述文字信息中的词语与所述贬义种子词的词语相似度。
本发明的有益效果在于：通过采用情感识别和手势识别模式相结合的识别方式进行智能家居控制，给用户提供了多种选择，使得智能家居的使用更加人性化。
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将结合附图及实施例对本发明作进一步说明，下面描述中的附图仅仅是本发明的部分实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他附图：
图1是本发明较佳实施例的多维识别家居控制方法流程图；
图2是本发明较佳实施例的多维识别家居控制方法原理框图。
为了使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的技术方案进行清楚、完整的描述，显然，所描述的实施例是本发明的部分实施例，而不是全部实施例。基于本发明的实施例，本领域普通技术人员在没有付出创造性劳动的前提下所获得的所有其他实施例，都属于本发明的保护范围。
本发明较佳实施例的多维识别家居控制方法流程如图1所示，包括步骤：
步骤S101、获取外部语音信息，对所述语音信息进行语音音调情感识别，生成第一情感识别结果，将所述语音信息转换为文字信息后，对所述文字信息进行语义情感识别生成第二情感识别结果，基于所述第一情感识别结果和第二情感识别结果，根据预定的情感识别结果判断方法生成用户情感识别结果；
步骤S102、获取外部视频信息，对所述视频信息进行图像识别，判断输入手势形状；
步骤S103、获取用户输入的设置参数，生成当前识别状态信息；当前识别状态包括：只根据手势识别进行判断的第一识别状态、只根据情感识别进行判断的第二识别状态、同时根据手势和情感识别进行判断的第三识别状态；
步骤S104、在当前识别状态为第三识别状态时，将手势识别结果作为第一参数、将情感识别结果作为第二参数，根据预设的判断公式输出综合判断信息。
上述多维识别家居控制方法中，在当前识别状态为第一识别状态时，直接根据手势识别结果输出综合判断信息；在当前识别状态为第二识别状态时，直
接根据情感识别结果输出综合判断信息。
上述多维识别家居控制方法中，所述手势识别增强手套内置红外光源，且所述手势识别增强手套的外表面设置有多个小孔以利于所述红外光源发射出的红外光透过进而增强所述手势识别模块对用户的手势的识别。
上述多维识别家居控制方法中，所述情感识别包括褒义情感识别和贬义情感识别。
本发明所述的多维识别家居控制方法，其中，还包括步骤：
对所述视频信号采集模块获取的面部图像信息进行图像识别判断，生成第三情感识别结果。
本发明所述的多维识别家居控制方法，其中，所述进行语音音调情感识别的方法包括步骤：
选定若干个褒义种子词和若干个贬义种子词生成情感词典；
分别计算文字信息中的词语与情感词典中的褒义种子词和贬义种子词的词语相似度；根据词语相似度，通过预设的语义情感分析方法生成所述第二情感识别结果。
上述多维识别家居控制方法中，根据语义相似度计算方法分别计算所述文字信息中的词语与所述褒义种子词的词语相似度以及所述文字信息中的词语与所述贬义种子词的词语相似度。
本发明较佳实施例的多维识别家居控制系统原理框图如图2所示，包括：手势识别模块、情感识别判断模块、音频信号采集模块、视频信号采集模块、综合信息处理模块、控制模块、无线收发模块；手势识别模块、情感识别判断模块与综合信息处理模块电连接；音频信号采集模块与情感识别判断模块连接；视频信号采集模块与手势识别模块和情感识别判断模块连接；综合信息处
理模块通过控制模块与无线收发模块电连接；综合信息处理模块，用于对手势识别结果、情感识别结果进行综合处理，得出综合判断信息，并根据该综合判断信息控制各智能家居设备执行相应的操作。本实施例通过采用情感识别和手势识别模式相结合的识别方式进行智能家居控制，给用户提供了多种选择，使得智能家居的使用更加人性化。
上述多维识别家居控制系统中，综合信息处理模块包括：识别状态判断单元，用于根据用户设置输入参数判断当前识别状态，其中，当前识别状态包括：只根据手势识别进行判断的第一识别状态、只根据情感识别进行判断的第二识别状态、同时根据手势和情感识别进行判断的第三识别状态。
上述多维识别家居控制系统中，综合信息处理模块还包括：综合判断信息生成单元，用于在当前识别状态为第三识别状态时，将手势识别结果作为第一参数、将情感识别结果作为第二参数，根据预设的判断公式输出综合判断信息。
上述多维识别家居控制系统中，情感识别判断模块包括：第一情感识别单元，用于对语音信息进行语音音调情感识别，生成第一情感识别结果；第二情感识别单元，用于将语音信息转换为文字信息后，对文字信息进行语义情感识别生成第二情感识别结果；情感识别结果输出单元，用于基于第一情感识别结果和第二情感识别结果，根据预定的情感识别结果判断系统生成用户情感识别结果。
上述多维识别家居控制系统中，手势识别模块连接有手势识别增强手套。手势识别增强手套内置红外光源，且手势识别增强手套的外表面设置有多个小孔以利于红外光源发射出的红外光透过进而增强手势识别模块对用户的手势的识别。
上述多维识别家居控制系统中，情感识别包括褒义情感识别和贬义情感识
别。例如，选定若干个褒义种子词和若干个贬义种子词生成情感词典；分别计算文字信息中的词语与情感词典中的褒义种子词和贬义种子词的词语相似度；根据词语相似度，通过预设的语义情感分析系统生成所述第二情感识别结果。具体地，可根据语义相似度计算系统分别计算所述文字信息中的词语与所述褒义种子词的词语相似度以及所述文字信息中的词语与所述贬义种子词的词语相似度。
上述实施例中，根据词语相似度，通过预设的语义情感分析系统生成所述第二情感识别结果的步骤具体系统为：通过词语情感倾向算式计算词语情感倾向值：当词语情感倾向值大于预定的阈值时，判断文字信息中的词语为褒义情感；当词语情感倾向值小于预定的阈值时，判断文字信息中的词语为贬义情感。
上述多维识别家居控制系统中，情感识别判断模块包括：第三情感识别单元，用于对视频信号采集模块获取的面部图像信息进行图像识别判断，生成第三情感识别结果。
应当理解的是，对本领域普通技术人员来说，可以根据上述说明加以改进或变换，而所有这些改进和变换都应属于本发明所附权利要求的保护范围。
Claims (9)
- 一种多维识别家居控制方法，其特征在于，包括步骤：获取外部语音信息，对所述语音信息进行语音音调情感识别，生成第一情感识别结果，将所述语音信息转换为文字信息后，对所述文字信息进行语义情感识别生成第二情感识别结果，基于所述第一情感识别结果和第二情感识别结果，根据预定的情感识别结果判断方法生成用户情感识别结果；获取外部视频信息，对所述视频信息进行图像识别，判断输入手势形状；获取用户输入的设置参数，生成当前识别状态信息；当前识别状态包括：只根据手势识别进行判断的第一识别状态、只根据情感识别进行判断的第二识别状态、同时根据手势和情感识别进行判断的第三识别状态；在当前识别状态为第三识别状态时，将手势识别结果作为第一参数、将情感识别结果作为第二参数，根据预设的判断公式输出综合判断信息；根据所述综合判断信息对家居进行控制。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，在当前识别状态为第一识别状态时，直接根据手势识别结果输出综合判断信息。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，在当前识别状态为第二识别状态时，直接根据情感识别结果输出综合判断信息。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，所述手势识别模块连接有用于增强手势信号的手势识别增强手套。
- 根据权利要求4所述的多维识别家居控制方法，其特征在于，所述手势识别增强手套内置红外光源，且所述手势识别增强手套的外表面设置有多个小孔以利于所述红外光源发射出的红外光透过进而增强所述手势识别模块对 用户的手势的识别。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，所述情感识别包括褒义情感识别和贬义情感识别。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，还包括步骤：对所述视频信号采集模块获取的面部图像信息进行图像识别判断，生成第三情感识别结果。
- 根据权利要求1所述的多维识别家居控制方法，其特征在于，所述进行语音音调情感识别的方法包括步骤：选定若干个褒义种子词和若干个贬义种子词生成情感词典；分别计算文字信息中的词语与情感词典中的褒义种子词和贬义种子词的词语相似度；根据词语相似度，通过预设的语义情感分析方法生成所述第二情感识别结果。
- 根据权利要求8所述的多维识别家居控制方法，其特征在于，根据语义相似度计算方法分别计算所述文字信息中的词语与所述褒义种子词的词语相似度以及所述文字信息中的词语与所述贬义种子词的词语相似度。
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