Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Recognizing Mimicked Autistic Self-Stimulatory Behaviors Using HMMs
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Pervasive Computing and Autism: Assisting Caregivers of Children with Special Needs
IEEE Pervasive Computing
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The design of a portable kit of wireless sensors for naturalistic data collection
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
Performance metrics for activity recognition
ACM Transactions on Intelligent Systems and Technology (TIST)
What is happening now? Detection of activities of daily living from simple visual features
Personal and Ubiquitous Computing
Proceedings of the 6th international conference on Human-robot interaction
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing
Automatic assessment of cognitive impairment through electronic observation of object usage
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
What next, ubicomp?: celebrating an intellectual disappearing act
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Automatic assessment of problem behavior in individuals with developmental disabilities
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Human motion recognition using a wireless sensor-based wearable system
Personal and Ubiquitous Computing
Evaluation of tablet apps to encourage social interaction in children with autism spectrum disorders
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TalkBetter: family-driven mobile intervention care for children with language delay
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Individuals with Autism Spectrum Disorders (ASD) frequently engage in stereotyped and repetitive motor movements. Automatically detecting these movements in real-time using comfortable, miniature wireless sensors could advance autistic research and enable new intervention tools for the classroom that help children and their caregivers monitor and cope with this potentially problematic class of behavior. We present activity recognition results for stereotypical hand flapping and body rocking using data collected from six children with ASD repeatedly observed in both laboratory and classroom settings. In the classroom, an overall recognition accuracy of 88.6% (TP: 0.85; FP: 0.08) was achieved using three sensors. Challenges encountered when applying machine learning to this domain, as well as implications for the development of real-time classroom interventions and research tools, are discussed.