Tailored 'activity coaching' by smartphone

Tailored activity monitoring. Credit: Image courtesy of University of Twente

Today's smartphone user can obtain a lot of data about his or her health, thanks to built-in or separate sensors. Researcher Harm op den Akker of the University of Twente (CTIT Institute) now takes this health monitoring to a higher level. Using the system he developed, the smartphone also acts as an 'activity coach': it advices the user to walk or take a rest. In what way the user wants to be addressed, is typically something the system learns by itself. Op den Akker conducted his research at Roessingh Research and Development in Enschede. October 17, he defends his PhD-thesis.

The new telemedicine system was tested for three months, among a group of COPD patients -- a chronic lung disease. For these patients, physical activity is very important but it can also lead to an oppressed feeling and thus, to over-cautiousness. Using the coaching system of Van den Akker, the patients carry a small movement sensor and a smartphone. The system calculates if it is advisable to take a rest or, on the other hand, have a walk. The system is 'context aware': it looks at the time of day, the weather, the surroundings of the patient and determines if the time is right for taking some exercise.

Tone of voice

In addition, the system knows how the patient wants to be addressed. Some people don't mind an imperative tone of voice 'go for a 10 minutes' walk', others prefer a more friendly advice: 'what if you would take a walk in the park?' Op den Akker designed learning algorithms for this: the system learns the preferences of the user by itself. Future versions of the system may not use text messages anymore, but an 'avatar' on the screen, enabling interaction with the user as well. For this, Op den Akker has started starting cooperation with the Human Media Interaction group of the University of Twente.

Roessingh Research & Development (RRD) is the research department of Roessingh rehabilitation centre in Enschede, The Netherlands. RRD closely cooperates with the University of Twente in many projects. Op den Akker conducted his research at RRD and UT's CTIT Institute, under supervision of Hermie Hermens, Professor in Neuromuscular Control and Telemedicine. A spin-off company of the university, Inertia Technology, developed the movement sensor used in this project.

Op den Akker's PhD-thesis is titled 'Smart tailoring of real-time physical activity coaching systems'.

Source: University of Twente

A mobile app for conducting opinion polls

Opiner is an open source tool for opinion polling. Credit: Image courtesy of KTH The Royal Institute of Technology

Soon anyone can conduct public opinion polls to drive issues that are important to them, using a new open source tool being developed at Sweden's KTH Royal Institute of Technology.

Researcher Konrad Tollmar and his colleagues intend for the mobile app, Opiner, to be used as a tool for direct democracy. Tollmar says that once Opiner is publicly available, it will enable anyone to conduct surveys, drive public opinion and influence political decisions.

"This will be an alternative to services that can cost millions to use," says Tollmar. "It gives people an opportunity that historically only large organisations have had."

Public opinion polls are an important tool for interest groups, which regularly hire commercial firms to conduct polls for them. The ability to take stock of -- and present -- public opinion enables interest groups to control the narrative around their issues, establish their communications themes and influence how the media and policymakers grasp a given subject.

"Polling can be expensive," he says. "But Opiner enables anyone to drive public opinion or conduct surveys."

Opiner could also have the benefit of energising more people to become politically involved. And it's not just for activists. Media organisations big and small can use the tool for their own purposes.

"We're working on a form of direct democracy. That people can have a voice in society," he says.

"But Opiner can be used for just about anything, large or small," he says, noting that one of the strengths of Opiner is that it can be context-specific.

Targeting mobile devices means that Opiner pollsters can make use of both space and time 

to find out what people think, and ask relevant questions based on these two parameters. For example, what do people think about public transportation when they are riding on the subway? What do students think about the quality of lunch while they're sitting in the school cafeteria?

"There is evidence in behavioral science and what is called "Experience Sampling," that surveys get a more true result when people are asked what they think in the moment, instead of afterward," he says.

Opiner also offers transparency. In addition to implementing polls, users can analyse the performance and freely share it. The system includes a toolkit to easily visualise the results in an understandable way.

"There are a lot of great tools on the web for public polling, but they are closed and commercial. Opiner is fully open and works on all types of newer phones. The system is open source, so anyone can download the software and set up their own Opiner," he says.

But it's not just the political benefit that Tollmar hopes to spread. In beta tests with teachers and students, the research team found that the act of surveying itself serves an educational purpose: as a way of developing students understanding of politics and language.

"First, we talked with their teachers about which questions should be asked. That worked so-so," he says. "The students didn't think the questions were always relevant. It was much better when the students themselves had to formulate their questions."

Opiner is part of the European research project, FlashPoll. Flashpoll has a mature Android app available, but what makes Opiner stand-out, Tollmar says, is its truly open platform -- from the establishment of questions, running the polls and analysis, to the sharing of results. "You should rather see Opiner as a research prototype of the next generation of Flashpoll tools," he says.

Tollmar is among a group of researchers at KTH who have worked with various digital tools over the last several years to help people make their voices heard, including Måns Wrange, Patrik Hernwall, Igor Isaksson och Mats Gustavsson.

Source: KTH The Royal Institute of Technology

Self-repairing software tackles malware

Eric Eide, University of Utah research assistant professor of computer science, stands in the computer science department's "Machine Room" where racks of web servers sit. It is on these computers that Eide, U computer science associate professor John Regehr, and their research team created and tested A3, a suite of computer applications that defeat malware and automatically repair the damage it causes. The project could help lead to better consumer software defenses.
Credit: Dan Hixson/University of Utah College of Engineering

University of Utah computer scientists have developed software that not only detects and eradicates never-before-seen viruses and other malware, but also automatically repairs damage caused by them. The software then prevents the invader from ever infecting the computer again.

A3 is a software suite that works with a virtual machine -- a virtual computer that emulates the operations of a computer without dedicated hardware. The A3 software is designed to watch over the virtual machine's operating system and applications, says Eric Eide, University of Utah research assistant professor of computer science leading the university's A3 team with U computer science associate professor John Regehr. A3 is designed to protect servers or similar business-grade computers that run on the Linux operating system. It also has been demonstrated to protect military applications.

The new software called A3, or Advanced Adaptive Applications, was co-developed by Massachusetts-based defense contractor, Raytheon BBN, and was funded by Clean-Slate Design of Resilient, Adaptive, Secure Hosts, a program of the Defense Advanced Research Projects Agency (DARPA). The four-year project was completed in late September.

There are no plans to adapt A3 for home computers or laptops, but Eide says this could be possible in the future.

"A3 technologies could find their way into consumer products someday, which would help consumer devices protect themselves against fast-spreading malware or internal corruption of software components. But we haven't tried those experiments yet," he says.

U computer scientists have created "stackable debuggers," multiple de-bugging applications that run on top of each other and look inside the virtual machine while it is running, constantly monitoring for any out-of-the-ordinary behavior in the computer.

Unlike a normal virus scanner on consumer PCs that compares a catalog of known viruses to something that has infected the computer, A3 can detect new, unknown viruses or malware automatically by sensing that something is occurring in the computer's operation that is not correct. It then can stop the virus, approximate a repair for the damaged software code, and then learn to never let that bug enter the machine again.

While the military has an interest in A3 to enhance cybersecurity for its mission-critical systems, A3 also potentially could be used in the consumer space, such as in web services like Amazon. If a virus or attack stops the service, A3 could repair it in minutes without having to take the servers down.

To test A3's effectiveness, the team from the U and Raytheon BBN used the infamous software bug called Shellshock for a demonstration to DARPA officials in Jacksonville, Florida, in September. A3 discovered the Shellshock attack on a Web server and repaired the damage in four minutes, Eide says. The team also tested A3 successfully on another half-dozen pieces of malware.

Shellshock was a software vulnerability in UNIX-based computers (which include many web servers and most Apple laptops and desktop computers) that would allow a hacker to take control of the computer. It was first discovered in late September. Within the first 24 hours of the disclosure of Shellshock, security researchers reported that more than 17,000 attacks 

by hackers had been made with the bug.

"It is a pretty big deal that a computer system could automatically, and in a short amount of time, find an acceptable fix to a widespread and important security vulnerability," Eide says. 

"It's pretty cool when you can pick the Bug of the Week and it works."

Now that the team's project into A3 is completed and proves their concept, Eide says the U team would like to build on the research and figure out a way to use A3 in cloud computing, a way of harnessing far-flung computer networks to deliver storage, software applications and servers to a local user via the Internet.

The A3 software is open source, meaning it is free for anyone to use, but Eide believes many of the A3 technologies could be incorporated into commercial products.

Other U members of the A3 team include research associate David M. Johnson, systems programmer Mike Hibler and former graduate student Prashanth Nayak.

Source: University of Utah

Software to automatically outline bones in x-rays

An image from the Bone Finder software. Credit: Image courtesy of Manchester University

Research into disorders such as arthritis is to be helped by new software developed at the University of Manchester which automatically outlines bones -- saving thousands of hours of manual work.

Amidst a national shortage of radiographers in the UK and an increasing requirement for researchers to work with large databases of radiograph images, the software which is being funded by the Engineering and Physical Sciences Research Council, is being designed to automatically pick out the shapes of bones in the images, rather than relying on individual researchers.

The system can already identify hips, but the researchers from the University's Institute of Population Health will now adapt it to map out knees and hands and to be able to learn to identify other bones and structures within the body.

The funding will allow further development to ensure the system is accurate enough that it can be used in hospitals to help provide faster diagnosis of problems in patients.

Professor of Computer Vision, Tim Cootes said: "Mapping the outlines of bones from radiographs is hard work that takes time and skill. When researchers into conditions like arthritis are working with hundreds of images, it's a very inefficient way of obtaining data.

"The idea of this software is to take the routine tasks out of human hands, so scientists can 

focus on drawing conclusions and developing treatments."

The funding of £300,000 lasts for three years and builds on earlier work which developed software, called Bonefinder, to identify problems and find the outlines of hips. This free software has been adopted by a number of research groups, including some based in Oxford and California.

Professor Cootes added: "We have a growing problem with arthritis which affects more than 30% of over 65s and costs around £30 billion to the UK economy year.

"Ultimately we want to get this technology into hospitals where it can save time and resources for the benefit of patients."

Source: Manchester University