An integrated approach to detecting communicative intent amid hyperkinetic movements in children
Andrea Lesperance1, Stefanie Blain, Tom Chau
1University of Toronto and Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Augmentative and Alternative Communication (Baltimore, Md. : 1985)
|October 20, 2011
Summary
This study explored using movement data to help children with hyperkinetic movement (HKM) communicate preferences. Accelerometer data successfully identified preferences, offering new communication possibilities for these children.
Area of Science:
- Biomedical Engineering
- Assistive Technology
- Human-Computer Interaction
Background:
- Children with hyperkinetic movement (HKM) face challenges with traditional augmentative and alternative communication (AAC) devices.
- Limited communication options hinder independence and quality of life for children with HKM.
Observation:
- This study investigated biomechanical patterns in HKM for potential communication signals.
- A unified approach combined caregiver/clinician observations with upper extremity accelerometry data.
- Two case studies were analyzed to identify discernible movement patterns related to preference.
Findings:
- Accelerometer data, analyzed via a linear discriminant classifier, identified child preference with statistically significant accuracy above chance.
- Communicative movement patterns were visually identified in one child (κ=0.25-0.27), though less so in the second (κ=0.03-0.11).
Implications:
- This research suggests accelerometry can be a viable tool for understanding communication in children with HKM.
- Findings may lead to enhanced communication methods and increased independence for this population.
- Potential for developing novel, personalized AAC solutions tailored to individual movement characteristics.
