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        案例简介：为什么这项工作与品牌体验和激活相关？ SIGNS 是全球首个针对听力损失人群的智能语音助手解决方案。这是一个创新的智能工具，可以实时识别和翻译手语，然后直接与选定的语音助理服务 (e g. Amazon Alexa 、 Google Assistant 或 Microsoft Cortana)。迹象正在重塑声音 -- 一次一个手势。许多听力损失的人用手说话。这就是他们需要与信号交谈的全部。明天天气怎么样？将灯光更改为蓝色。找一家意大利餐馆。只要说话，信号就会回答。 背景 全球有超过 20亿个支持语音的设备。语音助手正在改变我们购物、搜索、交流甚至生活的方式。至少对大多数人来说。但是那些没有声音的呢？那些听不见的人呢？根据世界卫生组织的数据，全世界大约有 4.66亿人有致残性听力损失。开发项目标志是为了提高人们对融入数字时代的认识，并促进获得新技术。 描述创意 (20% 的选票) 语音助手正在改变我们购物、搜索、交流甚至生活的方式。至少对大多数人来说。但是那些没有声音的呢？那些听不见的人呢？全世界大约有 4.66亿人有致残性听力损失。通过 SIGNS 项目，我们正在提高对数字可及性和包容性的认识。SIGNS 是全球首个针对听力损失人群的智能语音助手解决方案。这是一个创新的智能工具，可以实时识别和翻译手语，然后直接与选定的语音助理服务 (e g. Amazon Alexa 、 Google Assistant 或 Microsoft Cortana)。迹象正在重塑声音 -- 一次一个手势。许多听力损失的人用手说话。这就是他们需要与信号交谈的全部。明天天气怎么样？将灯光更改为蓝色。找一家意大利餐馆。只要说话，信号就会回答。 描述策略 (20% 的选票) 许多听力损失的人用手说话。这是他们的自然语言。他们的手是他们的声音。然而，语音助理使用自然语言处理来破译并仅对可听见的命令做出反应。没有声音意味着没有反应。标志通过识别手势直接与现有的语音助理服务 (如亚马逊 Alexa 、谷歌主页或微软 Cortana) 沟通，弥合了聋人和语音助理之间的差距。 描述执行情况 (30% 的选票) SIGNS 使用集成摄像头实时识别手语，并直接与语音助手通信。该系统基于机器学习框架 Google Tensorflow。预先训练的 MobileNet 的结果用于在手势上训练几个 KNN 分类器。识别计算网络摄像头录制的手势的可能性并转换为文本。生成的句子被翻译成传统语法，并发送到基于云的服务，从中生成语言。换句话说，手势被转换成所选语音助理理解的数据格式 (文本到语音)。在本例中，显示了 Amazon Voice Service (AVS)。AVS 使用元数据和音频数据进行响应，这些数据反过来从云服务转换为文本 (文本到语音)。将显示结果。SIGNS 适用于任何基于浏览器的操作系统，该操作系统具有集成摄像头，并且可以连接到语音助手。 列出结果 (30% 的选票) 项目标志提高了人们对融入数字时代的认识，并为获得新技术提供了便利。聋人社区的反应是压倒性的。就像声音一样，手势是一种直观的交流方式，使其与行业极其相关。不仅仅是为了听力受损的人，也是为了每个人。人们认为在公共场合和无形的人说话很尴尬，这就是为什么我们认为与数字世界的无形对话不仅限于声音本身。此外，我们开始与德国青年听力损失者协会合作，并扩大了可用性。前所未有的手语助手以这种质量推出，并有望成为一个全球平台，可以从世界各地轻松访问，学习新的符号和手语。

        符号

        案例简介：Why is this work relevant for Brand Experience & Activation? SIGNS is the first smart voice assistant solution for people with hearing loss worldwide. It’s an innovative smart tool that recognizes and translates sign language in real-time and then communicates directly with a selected voice assistant service (e.g. Amazon Alexa, Google Assistant or Microsoft Cortana). SIGNS is reinventing voice – one gesture at a time. Many people with hearing loss use their hands to speak. And that’s all they need to talk to SIGNS. How's the weather tomorrow? Change lights to blue. Find an Italian restaurant. Just speak, and SIGNS will answer. Background There are over 2 billion voice-enabled devices across the globe. Voice assistants are changing the way we shop, search, communicate or even live. At least for most people. But what about those without a voice? What about those who cannot hear? According to the World Health Organization around 466 million people worldwide have disabling hearing loss. Project SIGNS was developed to create awareness for inclusion in the digital age as well as to facilitate access to new technologies. Describe the creative idea (20% of vote) Voice assistants are changing the way we shop, search, communicate or even live. At least for most people. But what about those without a voice? What about those who cannot hear? Around 466 million people worldwide have disabling hearing loss. With the SIGNS Project, we are creating awareness for digital accessibility and inclusion. SIGNS is the first smart voice assistant solution for people with hearing loss worldwide. It’s an innovative smart tool that recognizes and translates sign language in real-time and then communicates directly with a selected voice assistant service (e.g. Amazon Alexa, Google Assistant or Microsoft Cortana). SIGNS is reinventing voice – one gesture at a time. Many people with hearing loss use their hands to speak. And that’s all they need to talk to SIGNS. How's the weather tomorrow? Change lights to blue. Find an Italian restaurant. Just speak, and SIGNS will answer. Describe the strategy (20% of vote) Many people with hearing loss use their hands to speak. This is their natural language. Their hands are their voice. However, voice assistants use natural language processing to decipher and react only to audible commands. No sound means no reaction. SIGNS bridges the gap between deaf people and voice assistants, by recognizing gestures to communicate directly with existing voice assistant services (e.g. Amazon Alexa, Google Home or Microsoft Cortana). Describe the execution (30% of vote) SIGNS uses an integrated camera to recognize sign language in real-time and communicates directly with a voice assistant. The system is based on the machine learning framework Google Tensorflow. The result of the pre-trained MobileNet is used to train several KNN classifiers on gestures. The recognition calculates the likelihood of the webcam's recorded gestures and converts into text. The resulting sentences are translated into conventional grammar and sent to a cloud-based service that generates language from it. In other words, the gestures are converted into a data format (text to speech) that the selected voice assistant understands. In this case, shown Amazon Voice Service (AVS). AVS responds with meta and audio data, which in turn is converted from a cloud service to text (text to speech). The result is displayed. SIGNS works on any browser-based operating system that has an integrated camera and can be connected to a voice assistant. List the results (30% of vote) Project SIGNS created awareness for inclusion in the digital age as well as facilitated access to new technologies. The response of the deaf community was overwhelming. Just like voice, gestures are an intuitive way of communicating, making it extremely relevant for the industry. Not just for the hearing impaired, but for everyone. People think it is awkward to speak to the invisible in public, that’s why we believe that invisible conversational interactions with the digital world are not limited to voice itself. Further we started a cooperation with the German Youth Association of People with Hearing Loss as a partner and extended the usability. Never before a sign language assistant was launched in that quality and with the prospect of becoming a worldwide platform, that can easily be accessible from all over the world, learning new signs and sign languages.

        Signs

        案例简介：为什么这项工作与品牌体验和激活相关？ SIGNS 是全球首个针对听力损失人群的智能语音助手解决方案。这是一个创新的智能工具，可以实时识别和翻译手语，然后直接与选定的语音助理服务 (e g. Amazon Alexa 、 Google Assistant 或 Microsoft Cortana)。迹象正在重塑声音 -- 一次一个手势。许多听力损失的人用手说话。这就是他们需要与信号交谈的全部。明天天气怎么样？将灯光更改为蓝色。找一家意大利餐馆。只要说话，信号就会回答。 背景 全球有超过 20亿个支持语音的设备。语音助手正在改变我们购物、搜索、交流甚至生活的方式。至少对大多数人来说。但是那些没有声音的呢？那些听不见的人呢？根据世界卫生组织的数据，全世界大约有 4.66亿人有致残性听力损失。开发项目标志是为了提高人们对融入数字时代的认识，并促进获得新技术。 描述创意 (20% 的选票) 语音助手正在改变我们购物、搜索、交流甚至生活的方式。至少对大多数人来说。但是那些没有声音的呢？那些听不见的人呢？全世界大约有 4.66亿人有致残性听力损失。通过 SIGNS 项目，我们正在提高对数字可及性和包容性的认识。SIGNS 是全球首个针对听力损失人群的智能语音助手解决方案。这是一个创新的智能工具，可以实时识别和翻译手语，然后直接与选定的语音助理服务 (e g. Amazon Alexa 、 Google Assistant 或 Microsoft Cortana)。迹象正在重塑声音 -- 一次一个手势。许多听力损失的人用手说话。这就是他们需要与信号交谈的全部。明天天气怎么样？将灯光更改为蓝色。找一家意大利餐馆。只要说话，信号就会回答。 描述策略 (20% 的选票) 许多听力损失的人用手说话。这是他们的自然语言。他们的手是他们的声音。然而，语音助理使用自然语言处理来破译并仅对可听见的命令做出反应。没有声音意味着没有反应。标志通过识别手势直接与现有的语音助理服务 (如亚马逊 Alexa 、谷歌主页或微软 Cortana) 沟通，弥合了聋人和语音助理之间的差距。 描述执行情况 (30% 的选票) SIGNS 使用集成摄像头实时识别手语，并直接与语音助手通信。该系统基于机器学习框架 Google Tensorflow。预先训练的 MobileNet 的结果用于在手势上训练几个 KNN 分类器。识别计算网络摄像头录制的手势的可能性并转换为文本。生成的句子被翻译成传统语法，并发送到基于云的服务，从中生成语言。换句话说，手势被转换成所选语音助理理解的数据格式 (文本到语音)。在本例中，显示了 Amazon Voice Service (AVS)。AVS 使用元数据和音频数据进行响应，这些数据反过来从云服务转换为文本 (文本到语音)。将显示结果。SIGNS 适用于任何基于浏览器的操作系统，该操作系统具有集成摄像头，并且可以连接到语音助手。 列出结果 (30% 的选票) 项目标志提高了人们对融入数字时代的认识，并为获得新技术提供了便利。聋人社区的反应是压倒性的。就像声音一样，手势是一种直观的交流方式，使其与行业极其相关。不仅仅是为了听力受损的人，也是为了每个人。人们认为在公共场合和无形的人说话很尴尬，这就是为什么我们认为与数字世界的无形对话不仅限于声音本身。此外，我们开始与德国青年听力损失者协会合作，并扩大了可用性。前所未有的手语助手以这种质量推出，并有望成为一个全球平台，可以从世界各地轻松访问，学习新的符号和手语。

        Signs

        案例简介：Why is this work relevant for Brand Experience & Activation? SIGNS is the first smart voice assistant solution for people with hearing loss worldwide. It’s an innovative smart tool that recognizes and translates sign language in real-time and then communicates directly with a selected voice assistant service (e.g. Amazon Alexa, Google Assistant or Microsoft Cortana). SIGNS is reinventing voice – one gesture at a time. Many people with hearing loss use their hands to speak. And that’s all they need to talk to SIGNS. How's the weather tomorrow? Change lights to blue. Find an Italian restaurant. Just speak, and SIGNS will answer. Background There are over 2 billion voice-enabled devices across the globe. Voice assistants are changing the way we shop, search, communicate or even live. At least for most people. But what about those without a voice? What about those who cannot hear? According to the World Health Organization around 466 million people worldwide have disabling hearing loss. Project SIGNS was developed to create awareness for inclusion in the digital age as well as to facilitate access to new technologies. Describe the creative idea (20% of vote) Voice assistants are changing the way we shop, search, communicate or even live. At least for most people. But what about those without a voice? What about those who cannot hear? Around 466 million people worldwide have disabling hearing loss. With the SIGNS Project, we are creating awareness for digital accessibility and inclusion. SIGNS is the first smart voice assistant solution for people with hearing loss worldwide. It’s an innovative smart tool that recognizes and translates sign language in real-time and then communicates directly with a selected voice assistant service (e.g. Amazon Alexa, Google Assistant or Microsoft Cortana). SIGNS is reinventing voice – one gesture at a time. Many people with hearing loss use their hands to speak. And that’s all they need to talk to SIGNS. How's the weather tomorrow? Change lights to blue. Find an Italian restaurant. Just speak, and SIGNS will answer. Describe the strategy (20% of vote) Many people with hearing loss use their hands to speak. This is their natural language. Their hands are their voice. However, voice assistants use natural language processing to decipher and react only to audible commands. No sound means no reaction. SIGNS bridges the gap between deaf people and voice assistants, by recognizing gestures to communicate directly with existing voice assistant services (e.g. Amazon Alexa, Google Home or Microsoft Cortana). Describe the execution (30% of vote) SIGNS uses an integrated camera to recognize sign language in real-time and communicates directly with a voice assistant. The system is based on the machine learning framework Google Tensorflow. The result of the pre-trained MobileNet is used to train several KNN classifiers on gestures. The recognition calculates the likelihood of the webcam's recorded gestures and converts into text. The resulting sentences are translated into conventional grammar and sent to a cloud-based service that generates language from it. In other words, the gestures are converted into a data format (text to speech) that the selected voice assistant understands. In this case, shown Amazon Voice Service (AVS). AVS responds with meta and audio data, which in turn is converted from a cloud service to text (text to speech). The result is displayed. SIGNS works on any browser-based operating system that has an integrated camera and can be connected to a voice assistant. List the results (30% of vote) Project SIGNS created awareness for inclusion in the digital age as well as facilitated access to new technologies. The response of the deaf community was overwhelming. Just like voice, gestures are an intuitive way of communicating, making it extremely relevant for the industry. Not just for the hearing impaired, but for everyone. People think it is awkward to speak to the invisible in public, that’s why we believe that invisible conversational interactions with the digital world are not limited to voice itself. Further we started a cooperation with the German Youth Association of People with Hearing Loss as a partner and extended the usability. Never before a sign language assistant was launched in that quality and with the prospect of becoming a worldwide platform, that can easily be accessible from all over the world, learning new signs and sign languages.

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