Di Wang

Publications (3)0 Total impact

• Conference Proceeding: Toward a biomimetic, bidirectional, brain machine interface

  A.H. Fagg, N.G. Hatsopoulos, B.M. London, J. Reimer, S.A. Solla, Di Wang, L.E. Miller
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  ABSTRACT: The interest in Brain Machine Interface (BMI) systems has increased tremendously in recent times; many groups have become involved in this type of research, and progress has been quite encouraging. However, two fundamental limitations remain: 1) With a few notable exceptions, BMIs extract only kinematic information from the brain, ignoring the wealth of force or kinetic information also present in the primary motor cortex, and 2) most existing BMIs depend exclusively on natural vision to guide movement, lacking the rapid proprioceptive feedback that is critical for normal movement. The work reported here describes our efforts to address both of these limitations.
  Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE; 10/2009
• Source

  Available from: Sara A Solla

  Article: Toward a biomimetic, bidirectional, brain machine interface.

  Andrew H Fagg, Nicholas G Hatsopoulos, Brian M London, Jacob Reimer, Sara A Solla, Di Wang, Lee E Miller
  [show abstract] [hide abstract]
  ABSTRACT: The interest in Brain Machine Interface (BMI) systems has increased tremendously in recent times; many groups have become involved in this type of research, and progress has been quite encouraging. However, two fundamental limitations remain: 1) With a few notable exceptions, BMIs extract only kinematic information from the brain, ignoring the wealth of force or kinetic information also present in the primary motor cortex, and 2) most existing BMIs depend exclusively on natural vision to guide movement, lacking the rapid proprioceptive feedback that is critical for normal movement. The work reported here describes our efforts to address both of these limitations.
  Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 01/2009; 2009:3376-80.
• Source

  Available from: citeseerx.ist.psu.edu

  Chapter: Grasping Affordances: Learning to Connet vission to Hand Action

  Charles de Granville, Di Wang, Joshua Southerland, Andrew H. Fagg, Robet Platt
  12/2008: pages 1-22;