Tag Archives: physiological computing

How should real-time analysis be defined in physiological computing?

Admin: Please welcome to the site our new Physiological Computing blogger.

Greetings my name is Alexander Karran and I am a PhD student at the Liverpool John Moore’s School of Natural Science and Psychology, under the supervision of Dr Stephen Fairclough. I will be working towards a research goal of developing a framework for real-time classifications of certain vectors of affect, using ambulatory body sensor networks under the umbrella of psychophysiology. This work will be multidisciplinary in nature, borrowing from and contributing to, computer science, e-health, psychology and affective computing.
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How should real-time analysis be defined in physiological computing?

Admin: Please welcome to the site our new Physiological Computing blogger.

Physiological Computing, Challenges for Developers and Users.

I recently received a questionnaire from the European Parliament, or rather its STOA panel with respect to developments in physiological computing and implications for social policy. The European Technology Assessment Group (ETAG) is working on a study with the title “Making Perfect Life” which includes a section on biocybernetic adaptation as well as BCI as other kinds of “assistive” technology. The accompanying email told me the questionnaire would take half-an-hour to complete (it didn’t) but they asked some interesting questions, particularly surrounding the view of the general public about this technology and issues surrounding data protection.

I’ve included a slightly-edited version of the questionnaire with my responses. Questions are in italics.
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CFP – Special Session at ICMI 2011 “BCI and Multimodality”

The deadline for submissions to this special session has been extended to May 20th

Anton Nijholt from University of Twente and Rob Jacob from Tufts University are organizing a special session at ICMI 2011 on “BCI and Multimodality”. All ICMI sessions, including the special sessions, are plenary. Hence, having a special session during the ICMI conference means that there is the opportunity to address a broad audience and make them aware of new developments and special topics. Clearly, if we look at BCI for non-medical applications a multimodal approach is natural. We can make use of knowledge about user, task, and context. Part of this information is available in advance, part of the information becomes available on-line in addition to EEG or fNIRS measured brain activity. The intended user is not disabled, he or she can use other modalities to pass commands and preferences to the system, and the system may also have information obtained from monitoring the mental state of the user. Moreover, it may be the case that different BCI paradigms can be employed in parallel or sequentially in multimodal (or hybrid) BCI applications.
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CFP – 2nd Workshop on Affective Brain-Computer Interfaces (aBCI)

Workshop at ACII 2011

http://hmi.ewi.utwente.nl/abci2011

http://www.acii2011.org

The second workshop on affective brain-computer interfaces will explore the advantages and limitations of using neuro-physiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this information about the user state in innovative and adaptive applications. The goal is to bring researchers from the communities of brain computer interfacing, affective computing, neuro-ergonomics, affective and cognitive neuroscience together to present state-of-the-art progress and visions on the various overlaps between those disciplines.

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REFLECT: Biocybernetic control with multiple loops

It has been said that every cloud has a silver lining and the only positive from chronic jet lag (Kiel and I arrived in Vancouver yesterday for the CHI workshop) is that it does give you a chance to catch up with overdue tasks. This is a post I’d been meaning to write for several weeks about my involvement in the REFLECT project.

For the last three years, our group at LJMU have been working on a collaborative project called REFLECT funded by the EU Commission under the Future and Emerging Technology Initiative. This project was centred around the concept of “reflective software” that responds implicitly to changes in user needs and in real-time. A variety of physiological sensors are applied to the user in order to inform this kind of reflective adaptation. So far, this is regular fare for anyone who’s read this blog before, being a standard set-up for a biocybernetic adaptation system.

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Physiological Computing meets Augmented Reality in a Museum

First of all, an apology – Kiel and I try to keep this blog ticking over, but for most of 2011, we’ve been preoccupied with a couple of large projects and getting things organised for the CHI workshop in May. One of the “things” that led to this hiatus on the blog is a new research project funded by the EU called ARtSENSE, which is the topic of this post.

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Road rage, unhealthy emotions and affective computing

From the point of view of an outsider, the utility and value of computer technology that provides emotional feedback to the human operator is questionable. The basic argument normally goes like this: even if the technology works, do I really need a machine to tell me that I’m happy or angry or calm or anxious or excited? First of all, the feedback provided by this machine would be redundant, I already have a mind/body that keeps me fully appraised of my emotional status – thank you. Secondly, if I’m angry or frustrated, do you really think I would helped in any way by a machine that drew my attention to these negative emotions, actually that would be particularly annoying. Finally, sometimes I’m not quite sure how I’m feeling or how I feel about something; feedback from a machine that says you’re happy or angry would just muddy the waters and add further confusion.

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Emotiv EPOC and the triple dilemma of early adoption

The UK version of Wired magazine ran an article in last month’s edition (no online version available) about Emotiv and the development of the EPOC headset. Much of the article focused on the human side of the story, the writer mixed biographical details of company founders with how the ideas driving the development of the headset came together. I’ve written about Emotiv before here on a specific technical issue. I still haven’t had any direct experience of the system, but I’d like to write about the EPOC again because it’s emerging as the headset of choice for early adopters.

In this article, I’d like to discuss a number of dilemmas that are faced by both the company and their customers. These issues aren’t specific to Emotiv, they hold for other companies in the process of selling/developing hardware for physiological computing systems.

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Announcing the CHI 2011 Workshop – Brain and Body Interfaces: Designing for Meaningful Interaction

I’m proud to announce the launch of the official webpage for Brain and Body Interfaces: Designing for Meaningful Interaction a workshop running at CHI 2011 May 7-11th 2011. You can subscribe to the workshop RSS feed here, where we will be posting all the latest workshop updates (social networking feeds will be following shortly).

EDIT
I’ve created a subdomain to host the webpage to make it easier to remember http://brainandbody.physiologicalcomputing.net.