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BSN 2014 workshop: Wearable body sensor networks for motor and cognitive rehabilitation
We are proud to be co-organizers of the
Workshop on Wearable Body Sensor Networks for Motor and Cognitive Rehabilitation
at the 2014 International Conference on Wearable and Implantable Body Sensor Networks - BSN 2014
(June 19, 2014 - Zurich, Switzerland)
Dr. Domen Novak, ETH Zurich and Balgrist University Hospital, Switzerland
Prof. Lorenzo Chiari, University of Bologna, Italy
Dr. Elisabetta Farella, Fondazione Bruno Kessler, Italy
Prof. Nicola Vitiello, Scuola Superiore Sant'Anna, Italy
Motor and cognitive impairments due to chronic disease, neurodegenerative disorders or simply aging represent a major challenge for the biomedical community. They result not only in decreased quality of life for the impaired, but also place a major strain on society due to the need for long-term care. However, wearable body sensor networks offer several possibilities for preventing and managing such impairments.
For example, wearable sensors can be used as an interface for serious games, allowing patients to perform physical and cognitive exercises in varied, motivating virtual environments both in the clinic and at home. During such exercises, the same sensors collect functional and physiological information about the user. This information can be assessed offline or online by physical therapists, but can also be used by the game to automatically provide feedback or corrections. State-of-the-art sensors could even estimate physical and cognitive workload and use this information to adapt the exercise difficulty over an entire training session. Separate from serious games, technologies such as personal digital assistants could enable more frequent exercise in both indoor and outdoor environments of daily life.
In a different application, technologies such as inertial measurement units, pressure-sensitive insoles and electromyographic sensors could be used to control assistive devices. For example, in a lower limb amputee, the motion of the remaining leg and upper body can be used to infer the user's intentions and guide a powered prosthesis. More simply, a sensor could simply detect postural imbalances and warn the wearer about the risk of falling.
Many other applications exist for wearable body sensor networks in rehabilitation. However, despite their potential, they have not yet progressed to widespread adoption among end-users. This workshop will thus bring together technical and clinical experts to discuss the state of the art of wearable sensors in rehabilitation of both motor and cognitive impairments. Particular target populations of interest include stroke, Parkinson’s disease and amputees.
List of topics
The topics of interest include, but are not limited to:
- Serious games for motor and cognitive rehabilitation
- Personal m-health systems for motor rehabilitation
- Motion analysis in rehabilitation using wearable sensors
- Intention and workload recognition for assistive devices
- Physical and cognitive therapy for prevention
- Usability aspects of wearable body sensor networks in rehabilitation
The workshop will take place as part of BSN 2014 and will last the entire day. Submissions are divided into full papers (approximately 30 minutes with Q&A) and short papers (approximately 15 minutes with Q&A).
Paper submission is now open! Interested contributors are welcome to submit either:
- full papers (4-6 pages formatted to the two-column IEEE conference style)
- short papers (2 pages formatted to the two-column IEEE conference style)
The IEEE MS Word and LaTeX templates as well as formatting instructions are available here. All papers will be fully reviewed by two reviewers and will appear in the official conference proceedings of BSN 2014 on IEEE Xplore.
Please submit contributions or queries by e-mail to firstname.lastname@example.org.
- April 2: submission deadline for both full and short papers
- April 23: all reviews returned to authors
- May 5: camera-ready deadline
- June 19: workshop
Technical program committee chairs
- Alberto Ferrari, University of Bologna
- Bojan Milošević, University of Bologna
Further information at the following links