Samsung s SelfieType Creates A Magic Invisible Keyboard For Your Phone

id="article-body" class="row" section="article-body"> Ian Knighton/CNET This story is part of CES 2020, our complete coverage of the showroom floor and the hottest new tech gadgets around. Phones like Samsung's Galaxy Note 10 and (probably) the upcoming Galaxy S11 are big, beautiful and powerful, but they haven't replaced true productivity machines like laptops. Part of the reason is that phone keyboards are smaller and more compact.

Samsung may have a way to change that: APKX using your phone's front camera to create an invisible keyboard.  The company, through its C-Lab initiative, Mod APK (luneva-sale.ru) which gives employees a year to work on research projects that could one day end up as products, showed off SelfieType at CES, the world's biggest tech convention. SelfieType works by combining artificial intelligence with a phone's front camera to map your finger joints and translate finger movements into keystrokes.

Samsung C-Lab's wild invisible AI keyboard in action. It uses the selfie camera of a phone to recognise joint movements and translate them into typing #CES2020 pic.twitter.com/hDRPPSa6zC — Daniel Van Boom (@dvanboom) January 7, 2020 Virtual keyboards have appeared before, Mobile Games using laser projection, and they've never really caught on, ios given that they're too unreliable to work at speed. SelfieType is different in that it works by analyzing how your finger joints move, not by focusing on where you physically press down with your finger.  I was able to briefly demo SelfieType on the crammed CES show floor, and I was impressed.

My demo was essentially a SelfieType tutorial, with the app guiding me through how different keys are mapped to different fingers, APKX as curious show-goers huddled around to watch. The performance anxiety was real. It's definitely early days -- this is a research project and not a preview of a developed, market-ready application -- but the foundation was there. Won Chun, one of the C-Lab researchers behind SelfieType, Mobile Games said the main challenge is getting more data. The algorithm that interprets joint movements will be more effective and Mobile Games versatile if the team can gather enough data on different typing styles and XAPK hand sizes.