1
Rajeev Sharma, Mohammed Yeasin, Sanshzar Kettebekov: Prosody based audio/visual co-analysis for co-verbal gesture recognition. The Penn State Research Foundation, Synnestvedt & Lechner, January 22, 2008: US07321854 (30 worldwide citation)


The present method incorporates audio and visual cues from human gesticulation for automatic recognition. The methodology articulates a framework for co-analyzing gestures and prosodic elements of a person's speech. The methodology can be applied to a wide range of algorithms involving analysis of g ...


2
Rajeev Sharma, Mohammed Yeasin, Sanshzar Kettebekov: Prosody based audio/visual co-analysis for co-verbal gesture recognition. The Penn State Research Foundation, Synnestvedt & Lechner, March 25, 2004: US20040056907-A1


The present method incorporates audio and visual cues from human gesticulation for automatic recognition. The methodology articulates a framework for co-analyzing gestures and prosodic elements of a person's speech. The methodology can be applied to a wide range of algorithms involving analysis of g ...


3
Rajeev Sharma, Mohammed Yeasin, Leena A Walavalkar: Multi-modal gender classification using support vector machines (SVMs). Mark D Simpson Esquire, Synnestvedt & Lechner, June 12, 2003: US20030110038-A1


A multi-modal system for determining the gender of a person using support vector machines (SVMs). Gender classification is first performed on visual (thumbnail frontal face) and audio (feature extracted from speech) data using support vector machines (SVMs). The decisions obtained from individual SV ...



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