The future of human computer interaction systems lies in how intelligently these systems can take into account the user’s context. Research on recognizing the daily activities of people has progressed steadily, but little focus has been devoted to recognizing jointly activities as well as movements in a specific activity. For many applications such as… (More)
This study examined the effect of number of syllables and syllable structure on repetition of pseudo-words by Russian-speaking children with Specific Language Impairment (SLI) and typically developing (TD) children. One hundred and forty-four pseudo-words, varying in length and syllable complexity, were presented to two groups of children: 15 children with… (More)
Cigarette smoking remains the leading cause of preventable death in the United States. Traditional in-clinic cessation interventions may fail to intervene and interrupt the rapid progression to relapse that typically occurs following a quit attempt. The ability to detect actual smoking behavior in real-time is a measurement challenge for health behavior… (More)
In the original publication, the below acknowledgment was unfortunately missed: Acknowledgments The authors would like to thank Rutgers undergraduate student Alex Weiner for helping fine-tune the proposed classification algorithm used for human motion recognition.