Abstract The need for accessible, cost-effective, and immediate communication tools for the deaf and hard-of-hearing community is a critical issue. Current available technologies are costly, complex, and unable to be seamlessly integrated into daily life. Our solution is to introduce a revolutionary wearable device: glasses that provide real-time speech-to-text transcription. By integrating advanced technology into a discrete, everyday accessory, we will be reducing communication barriers faced by individuals who are deaf or hard of hearing. The final deliverable is a proof of concept equipped with an OLED display that will display transcribed text into the user's field of vision, an ESP32-C3 for wireless communication, and two microphones for audio capture. Additionally, we will develop an iOS-compatible mobile application that enables the user to reference past conversations and customize the displayed text based on their preferences. Our technical approach leverages continuously improvable open-source speech recognition software, a practical optical design, and an efficient microcontroller. Our end product delivers a new way for deaf and hard-of-hearing individuals to communicate, cultivating a more inclusive world where every voice and word can be heard and understood.
Terminal Outcomes: ● Use selected AI applications online to explore various types of AI ● Recognize AI applications in everyday life ● Identify the various types of problems that AI can solve ● Breakdown a human action into parts to identify learning requirements and processes involved ● Identify the various components of human learning ● Identify the use of data in various given activities and applications ● Recognize different types of data and explore how the same data can be represented in different ways ● Analyze and从表示数据,符号和图表中提取信息●调查数字系统如何表示二进制中的文本,图像和音频数据●解释代数,概率和统计信息在AI中的作用●解释在AI中进行数据可视化的需求●AI●解决问题的问题解决方案的解决方案●warge a I Seption beartion weartion beartion beart pocution beartion beartion beartion beard pocution beard pocution warry pocution beartion beartion warry pocution●培训现有的AII●培训AI II II●培训AI II●使用Python语言
1。Pamina Firchow,日常和平指标(EPI)的执行董事,布兰代斯大学的副教授:“这些指标可用于生成参与性统计或统计数据,这些统计数据或统计数据是使用由专家对自己现实的专家产生的工具创建的。”2。Eliza Urwin,冲突,发展与和平建设中心的Reserch主管,日常和平指标的研究助理:“借助EPI,我们不仅收集数据;此方法超越了传统的指标,使我们能够利用当地的经验,并将其融入更广泛的和平叙事。这是关于将故事变成统计数据,将叙事变成引起当地社区和政策制定者共鸣的数字。我们的目标是弥合基层现实与高级决策之间的差距。” 3。Julianne Funk,项目协调员日常和平指标:“作为EPI,我们担心数据收集的提取性质,因此我们将参与概念介绍给了我们的监视和设计工作,以思考创造性的方法,以将数据归还给社区,以用来设计项目,”
AI 课程正在课堂上开发和测试,但更广泛的采用取决于教师的专业发展和认可。在从事专业发展时,课程被视为一成不变的,教育工作者准备提供书面课程,而不是被授权成为传播和维持 AI 教育的领导者。这限制了教师根据学生的需求和兴趣定制新课程的程度,最终使学生远离新的和可能相关的内容。本文介绍了 AI 教育者 Make-a-Thon,这是一场为期两天的聚会,来自美国各地的 34 名教育工作者聚集在一起,以共同设计 AI 素养材料为中心,这是为期一年的专业发展计划的最终体验,该计划名为 Everyday AI (EdAI),教育工作者在其中学习和练习在课堂上实施开发 AI 素养 (DAILy) 的创新课程。受到 Hack-a-Thons 的激励和赋权体验的启发,Make-a-Thon 旨在通过积极影响教育者对 AI 社区的归属感、AI 内容知识以及作为 AI 课程设计者的自信心,增加教育者对 AI 教育的投资深度和持久性。在本文中,我们描述了 Make-a-Thon 的设计、发现以及对未来以教育者为中心的 Make-a-Thons 的建议。
COST269 移动工作组 (Haddon, L., de Gournay, C., Lohan, M., Östlund, B., Palombini, I, Sapio, B., Kilegran, M.) (2001) 从移动到移动性:ICT 和移动性在日常生活中的消费,COST269 报告。可在 http://www.cost269.org/ 上找到,点击“文档”,然后点击“移动性”。Crabtree, A., Nathan, M 和 Roberts, S. (2003) 英国移动。对手机日常使用的民族志调查。第四届无线世界会议论文,“移动革命 - 回顾展”,7 月 17-18 日,萨里大学,吉尔福德。