I’m not sick… I just want to enjoy the view from my window!

11/26/2012
Elderly woman looking from a window

Elderly woman looking from a window

Today, I’m going to briefly discuss the potential benefits from exploring affective computing technologies in smart homes and smart environments in general especially when it comes to providing health and social services. Smart home technologies today are mostly accompanied with some potential problems annoying residents of smart homes with false alarms and unwanted reactions. When an elderly or person with disability lives in a smart home one would expect it to be that smart home to recognise what situation is really a potential danger or threat to them and act accordingly. Sensor technologies have advanced a lot in the direction of detecting potential dangers and threats but there is one thing they still cannot control. Human behaviour. Read the rest of this entry »


My device is my work.

11/19/2012
Stephen Hawking and his device

Stephen Hawking and his device

In September-October 2011 the Economics Intelligence Unit surveyed 567 executives from all major industry sectors and all parts of the globe, for their opinions on how technology would change business between now and 2020. The survey entitled “Frontiers of Disruption: The next decade of technology in business” was released in 2012 and is available on the website of the Economist.

Almost 60% of executives feel that the vertical markets in which they will operate in 2020 will bear little or no resemblance to those in which they operate today. 70% expect to see a high degree of convergence between previously distinct business sectors. Many fear that their own company may no longer exist in 2020. More than half of ICT executives fear that their company will not be able to keep up with change and will have lost their competitive edge by 2020. Read the rest of this entry »


From school for some to… school of one.

11/12/2012
Learning algorithm in School of One

Learning algorithm in School of One

In previous post about education one of the key factors for inclusive education is the ability to adapt teaching methods, materials, tasks etc. according to learners’ needs and profile. Either by having a co-teacher, a robot co-teacher, a traditional CSCL system or a teleconference based CSCL system the key factor for success is to adapt teaching methods and learning objectives according to students’ needs and performance. Educators need to know how well students perform, what are their strengths and weaknesses and focus on them. This means that the learning process has to be adapted for each student individually and the traditional model of one-size-fits-all teaching and learning should be abandoned. Read the rest of this entry »


Will WiFi be the best solution for indoor navigation?

11/05/2012
Google Maps indoor navigation

Google Maps indoor navigation

I am returning to mobility problems in this post and especially for indoor environements. One of the most pressing issues for mobility impaired and vision impaired persons is the issue of getting around in unknown indoor environments. Getting lost, disoriented and even getting “trapped” in some circumstances can be quite a stressful situation for them.

Lately, a number of positioning techniques have been developed for indoor environments (e.g., the methods based on Wireless Local Area Networks (WLAN), Bluetooth, Radio Frequency Identification (RFID), Ultra Wideband (UWB), infrared and ultrasound, etc.). Among these techniques, the approach on the basis of exploiting 802.11 WLAN (Wi-Fi) is attractive, which is expected to yield a cost-effective and easy-accessible solution. All modern smartphones have Wi-Fi built in, and wireless networks are common enough in indoor spaces that an app could easily scan for known access points and calculate your position using trilateration . This is currently enabled in open operating systems of smart phones, e.g. in Android ones. As an alternative, there are some Wi-Fi installations in buildings, such as the ones based on Cisco MSE that can determine the location of any wireless device in the building. The Wi-Fi access points receive the Wi-Fi signals created by the mobile phone and then estimate its position via trilateration. Read the rest of this entry »


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