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We propose a new algorithm for source localization on rigid surfaces, which allows one to convert daily objects into human-computer touch interfaces using surface-mounted vibration sensors. This is achieved via estimating the time-difference-of-arrivals (TDOA) of the signals across the sensors. In this work, we employ a smooth parametrized function to model the gradual noise-to-signal energy transition at each sensor. Specifically, the noise-to-signal transition is modeled by a four-parameter logistic function.

Negative symptoms in schizophrenia are associated with significant
burden and functional impairment, especially speech
production. There are no robust
treatments for negative symptoms and one obstacle surrounding
its research is the lack of an objective measure. To this
end, we explore non-verbal speech cues as objective measures.
Specifically, we extract these cues while schizophrenic
patients are interviewed by psychologists. Our results suggest a
strong correlation between certain measures of the two rating
sets.

Negative symptoms in schizophrenia are associated with significant
burden and functional impairment, especially speech
production. In clinical practice today, there are no robust
treatments for negative symptoms and one obstacle surrounding
its research is the lack of an objective measure. To this
end, we explore non-verbal speech cues as objective measures.
Specifically, we extract these cues while schizophrenic
patients are interviewed by psychologists. Our results suggest a
strong correlation between certain measures of the two rating