Now showing items 1-10 of 10

    • Assessment and Prediction of Negative Symptoms of Schizophrenia from RGB+D Movement Signals 

      Chakraborty, Debsubhra; Tahir, Yasir; Yang, Zixu; Maszczyk, Tomasz; Dauwels, Justin; Thalmann, Daniel; Magnenat Thalmann, Nadia; Tan, Bhing-Leet; Lee, Jimmy (2017)
      Negative symptoms of schizophrenia significantly affect the daily functioning of patients, especially movement and expressive gestures. The diagnosis of such symptoms is often difficult and require the expertise of a trained ...
    • Human robot interaction by understanding upper body gestures 

      Xiao, Yang; Zhang, Zhijun; Beck, Aryel; Yuan, Junsong; Thalmann, Daniel (2014)
      In this paper, a human–robot interaction system based on a novel combination of sensors is proposed. It allows one person to interact with a humanoid social robot using natural body language. The robot understands the ...
    • Human-virtual human interaction by upper body gesture understanding 

      Xiao, Yang; Yuan, Junsong; Thalmann, Daniel (2013)
      In this paper, a novel human-virtual human interaction system is proposed. This system supports a real human to communicate with a virtual human using natural body language. Meanwhile, the virtual human is capable of ...
    • Interactive design of expressive locomotion controllers for humanoid robots 

      Dalibard, Sebastien; Thalmann, Daniel; Magnenat-Thalmann, Nadia (2012)
      This paper presents an interactive dynamic controller used to generate locomotion patterns for humanoid robots. The purpose of this work is to provide animators and artists easy and intuitive tools to design expressive ...
    • Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia 

      Tahir, Yasir; Yang, Zixu; Chakraborty, Debsubhra; Thalmann, Nadia; Thalmann, Daniel; Maniam, Yogeswary; Nur Amirah Abdul Rashid; Tan, Bhing-Leet; Lee, Jimmy Chee Keong; Dauwels, Justin (2019)
      Negative symptoms in schizophrenia are associated with significant burden and possess little to no robust treatments in clinical practice today. One key obstacle impeding the development of better treatment methods is the ...
    • Real-time 3D hand pose estimation with 3D convolutional neural networks 

      Ge, Liuhao; Liang, Hui; Yuan, Junsong; Thalmann, Daniel (2018)
      In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for ...
    • Real-time comprehensive sociometrics for two-person dialogs 

      Rasheed, Umer; Tahir, Yasir; Dauwels, Shoko; Dauwels, Justin; Thalmann, Daniel (2013)
      A real-time system is proposed to quantitatively assess speaking mannerisms and social behavior from audio recordings of two-person dialogs. Speaking mannerisms are quantitatively assessed by low-level speech metrics such ...
    • Real-time feedback system for monitoring and facilitating discussions 

      Sarda, Sanat; Constable, Martin; Dauwels, Justin; Dauwels, Shoko; Elgendi, Mohamed; Mengyu, Zhou; Rasheed, Umer; Tahir, Yasir; Thalmann, Daniel; Magnenat-Thalmann, Nadia (Springer Science+ Business Media New York, 2014)
      In this chapter, we present a system that provides real-time feedback about an ongoing discussion. Various speech statistics, such as speaking length, speaker turns and speaking turn duration, are computed and displayed ...
    • Virtual humans : back to the future 

      Thalmann, Nadia Magnenat; Thalmann, Daniel (2012)
      This paper essentially tries to examine all the roles that Virtual Humans can play in empowering human expression, and the research challenges we have to face to make this possible. It starts with a short history of Virtual ...