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WiSee is a novel interaction interface that leverages ongoing wireless transmissions in the environment (e.g., WiFi) to enable whole-home sensing and recognition of human gestures. Since wireless signals do not require line-of-sight and can traverse through walls, WiSee can enable whole-home gesture recognition using few wireless sources (e.g., a Wi-Fi router and a few mobile devices in the living room). WiSee is the first wireless system that can identify gestures in line-of-sight, non-line-of-sight, and through-the-wall scenarios. Unlike other gesture recognition systems like Kinect , Leap Motion or MYO , WiSee requires neither an infrastructure of cameras nor user instrumentation of devices. We implement a proof-of-concept prototype of WiSee and evaluate it in both an office environment and a two-bedroom apartment. Our results show that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%.

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The Astronomical Math Behind UPS' New Tool to Deliver Packages Faster Photo: UPS In a sense, all business boils down to math. But some companies have tougher equations to solve than others. At UPS, the average driver makes about 120 deliveries per day, says Jack Levis, the shipping giant’s director of process management. To figure out how many different possible routes that driver could travel, just start multiplying: 120 * 119 * 118 * . . . * 3 * 2 * 1. The end result, Levis likes to say, far exceeds the age of the Earth in nanoseconds.

Contact Lens Computer: Like Google Glass, without the Glasses For those who find Google Glass indiscreet, electronic contact lenses that outfit the user’s cornea with a display may one day provide an alternative. Built by researchers at several institutions, including two research arms of Samsung, the lenses use new nanomaterials to solve some of the problems that have made contact-lens displays less than practical. A group led by Jang-Ung Park, a chemical engineer at the Ulsan National Institute of Science and Technology, mounted a light-emitting diode on an off-the-shelf soft contact lens, using a material the researchers developed: a transparent, highly conductive, and stretchy mix of graphene and silver nanowires. The researchers tested these lenses in rabbits—whose eyes are similar in size to humans’—and found no ill effects after five hours. The animals didn’t rub their eyes or grow bloodshot, and the electronics kept working. This work is described online in the journal Nano Letters.

Reading a memory.dmp or other .dmp file - Scott Forsyth's Blog While the dreaded Blue Screen of Death (BSOD) occurs less frequently with newer versions of Windows than it did in years past, there are still times when the BSOD reveals itself. I just ran into four BSOD’s on two Windows Server 2012 machines and I had the ‘opportunity’ to analyze a memory.dmp file today, so I thought I would post quick instructions on how to get a handy summary of the memory dump. I’ve had this ”I Found a Fix” debugging page bookmarked for years and I’ve used it many times, so I need to give full credit to ifoundafix for their helpful steps. The only change I have below is to include updated paths. It’s possible to debug remotely, and you may have requirements to do that.

Computer learning to read lips to detect emotions Open the pod bay doors , HAL . Scientists in Malaysia are teaching a computer to interpret human emotions based on lip patterns. The system could improve the way we interact with computers and perhaps allow disabled people to use computer-based communications devices, such as voice synthesizers, more effectively and more efficiently, says Karthigayan Muthukaruppan of Manipal International University. The system uses a genetic algorithm that gets better and better with each iteration to match irregular ellipse-fitting equations to the shape of a human mouth displaying different emotions. They have used photos of individuals from Southeast Asia and Japan to train a computer to recognize the six commonly accepted human emotions — happiness, sadness, fear, angry, disgust, surprise — and a neutral expression. The upper and lower lip is each analyzed as two separate ellipses by the algorithm.

The Waiting Game: Fast-Food Queuing Theory At AetherWorks, we leave the office every day to get lunch from one of the many dining establishments in the vicinity of our Bryant Park HQ, and we probably spend most of this time stuck in line. Different restaurants offer different queue strategies, and unfortunately, all queue strategies are not created equal. But which of the restaurants offers the most efficient queue, so that I can eat there more frequently and waste less time stuck in line? This post compares the performance of the queues at our favorite lunch spots using a branch of mathematics known as queuing theory. Generally we can think of purchasing food in a take-out restaurant as involving a series of workstations, each with a separate task that takes some time (e.g. ordering food, instructing workers, collecting food, paying).

Steered by thoughts, drone flies through hoops - tech - 05 June 2013 Video: Thought-controlled quadcopter drone It was only a matter of time before it became possible to control a drone with mere thoughts. In a gymnasium in Minneapolis, Minnesota, an AR.Drone quad-rotor helicopter made by French firm Parrot has been zooming right and left, up and down, and even through hoops as its pilot merely thinks of concepts related to such directions. Bin He and colleagues at the University of Minnesota, who developed the rig, are not trying to use mind control to launch precision drone strikes. Instead, their aim is to demonstrate the power of the brain to move the machines that aid disabled people – whether those machines are exoskeletons

The Most Manipulative Use of Kinect Imaginable The good people of GeekWire spotted a patent application from Microsoft that envisions using Kinect to figure out your mood, and target ads at you accordingly. The application, filed back when Kinect was rather new (in December of 2010) was made public this week. (It’s not the first Microsoft patent application expressing an interest in tracking users’ moods.) How exactly would it work? The idea is that Kinect’s motion and facial recognition technology could figure out whether you’re sad or happy, and serve up ads that jive with your mood. Mining consumers’ web searches can reveal unreported side effects of drugs, Stanford researchers say Russ Altman Researchers at the Stanford University School of Medicine and Microsoft Research have revealed that the Internet search history of consumers can yield information on the unreported side effects of drugs or drug combinations. By analyzing 12 months of search history from 6 million Internet users who consented to share anonymized logs of their Web searches for research purposes, the team was able to pinpoint an interaction between two drugs that was unknown at the time of data collection. "Seeking health information is a major use of the Internet now," said co-author of the new paper Russ Altman, MD, PhD, Stanford professor of bioengineering, of genetics and of medicine. "So we thought people are likely typing in drugs they are taking and the side effects they are experiencing and that there must be a way for us to use this data." The study was published March 6 in the Journal of the American Medical Informatics Association.

How Adobe Reinvented The Pen To Draw On The Internet This week, Adobe announced that the Creative Suite was becoming the subscription-based Creative Cloud. It didn’t go so well. But amidst the bad news, we may have lost sight of Adobe’s rationale for pushing the cloud beyond profits. And you can see that rationale hiding inside Project Mighty. On one hand, it’s just an aluminum stylus that can replace your finger on the iPad screen. Scientist Finds PageRank-Type Algorithm from the 1940s The PageRank algorithm is a key part of Google’s method of ranking web pages in search results. It uses the network of links between web pages to determine their value and, famously, judges a page to be important if it is linked to by other important pages. One crucial feature of this idea is that it requires an iterative approach to constantly re-evaluate the value of a page as the importance of others varies. Iterative ranking algorithms have since become an important part of network theory. PageRank was developed in 1998 by Google’s founders Sergey Brin and Larry Page and its impact has been such that it’s easy to forget that the approach was not entirely novel.

Adobe announces first hardware, the Project Mighty smart stylus and Napoleon ruler Adobe has just announced its first hardware initiative, a pressure sensitive stylus and an electronic ruler that will tightly integrate with its software applications. The company's Project Mighty stylus and Napoleon ruler have been showcased connecting to an iPad and iPhone over Bluetooth. The pen works much like existing styli, but when working alongside Napoleon, the two tools can be used to create curved and angled shapes in a way that would be difficult to do with a third-party stylus. So far, the tools have only been demonstrated working with an unreleased app, which Adobe told us was created specifically for the hardware.