Children with autism often exhibit self-stimulatory (or "stimming") behaviors. We present an on-body sensing system for continuous recognition of stimming activity. By creating a system to recognize and monitor stimming behaviors, we hope to provide autism researchers with detailed, quantitative data. In this paper, we compare isolated and continuous recognition rates of emulated autistic stimming behaviors using hidden Markov models (HMMs). We achieved an overall system accuracy 68.57% in continuous recognition tests. However, the occurrence of stimming events can be detected with 100% accuracy by allowing minor frame-level insertion errors.

In this paper we present a 20-participant controlled experiment to evaluate and compare a head-down visual display and a synthesized speech audio display for comprehending text while mobile. Participants completed reading comprehension trials while walking a path and sitting. We examine overall performance and perceived workload for four conditions: audio-walking, audiositting, visual-walking, and visual-sitting. Results suggest audio is an acceptable modality for mobile comprehension of text. Participants' comprehension scores for the audio-walking condition were comparable to the scores for the visual-walking condition. More importantly, participants saw improvements in their ability to navigate the environment when using the audio display.

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