MBZUAI researchers have developed an AI program using vision transformers that can learn a person's handwriting style and generate text in that style. The US Patent and Trademark Office recently granted a patent for this technology, which could aid individuals with writing impairments. The system overcomes limitations of previous GAN-based approaches by processing long-range dependencies in handwriting. Why it matters: This patented AI tool enhances personalized text generation and has potential applications in assistive technology and improving handwriting recognition models.
KAUST Professor Matteo Parsani will undertake a 30-day, 3000km hand bike journey across Saudi Arabia starting December 17. The journey aims to promote physical activity, raise disability awareness, showcase KAUST research, and highlight Saudi's beauty. KAUST researchers developed biosensor-embedded gear to monitor Parsani's health metrics like heart rate, dopamine levels, and sweat rate during the journey. Why it matters: The initiative demonstrates KAUST's commitment to assistive technology research and promoting inclusivity in Saudi society through adaptive sports.
Tetsunari Inamura's talk explores using VR to collect HRI data and tailor assistive robotic functionalities to individual users. He discusses symbol emergence via multimodal interaction, interactive behavior generation through symbol manipulation, and VR for data collection. The talk emphasizes long-term human capability enhancement and avoiding over-reliance on technology. Why it matters: This research promotes independence and growth in human-robot interactions, potentially revolutionizing assistive technologies in the region.
The article discusses the potential of AI-enabled assistive technologies to empower People with Disabilities (PWD), citing that over one billion people live with some form of disability globally. It highlights examples like communication tools, assistive robots, and smart visual aids, and emphasizes the need to address security and privacy concerns. The author, Ishfaq Ahmad from the University of Texas at Arlington, points out that with a growing global population, over two billion people will need assistive products by 2030. Why it matters: The piece advocates for using AI to tackle critical human rights issues and improve the lives of a significant portion of the global population in the face of increasing disability rates.
MBZUAI student Karima Kadaoui is developing machine learning algorithms to help speech-impaired individuals communicate more easily. Her project aims to create an app that translates speech impediments into understandable language, facilitating communication with others and integration with voice-enabled technologies like Siri and Google Assistant. The AI-powered app could assist individuals with conditions such as strokes and cerebral palsy, who often struggle with muscle control affecting speech clarity. Why it matters: The research addresses a critical need for inclusive AI solutions, potentially improving the quality of life for speech-impaired individuals in the region and beyond.