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A body model server for human motion capture and representation.

J Bers1

  • 1BBN Systems and Technologies, Cambridge, Massachusetts 02138, USA.

Presence (Cambridge, Mass.)
|October 1, 1996
PubMed
Summary

This study introduces a Body Model Server (BMS) for real-time human motion tracking. The BMS provides accurate upper-body pose data for applications like animation control.

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Area of Science:

  • Human-Computer Interaction
  • Biomechanical Engineering
  • Computer Graphics

Background:

  • Real-time human motion data is crucial for applications like animation and virtual reality.
  • Existing systems often lack device independence and efficient data synchronization.
  • Accurate tracking of upper-body pose, including limbs and head, is complex.

Purpose of the Study:

  • To present a Body Model Server (BMS) for real-time human motion data.
  • To establish a device-independent data layer between sensors and client applications.
  • To enable accurate and synchronized motion data delivery for applications such as animation control.

Main Methods:

  • Developed a Body Model Server (BMS) architecture.
  • Integrated data from magnetic sensors, data-gloves, and an eye-tracker.
  • Utilized a geometric model with joints and segments to represent body posture via joint angles.
  • Employed implicit geometric constraints for efficient computation of unmeasured joint angles.
  • Implemented time-stamped data for synchronization with other data streams.

Main Results:

  • The BMS provides real-time access to upper-body position and posture data (torso, arms, hands, head, eyes).
  • Accurate motion data is delivered to clients at frequencies up to 40 Hz.
  • The system successfully combines data streams from multiple sensors into coherent pose snapshots.
  • Demonstrated simplification of joint angle computation using body constraints.
  • Enabled synchronization of motion data with external streams like speech.

Conclusions:

  • The Body Model Server (BMS) offers a robust, device-independent solution for real-time human motion tracking.
  • The architecture facilitates efficient data management and computation for complex motion capture.
  • The use of geometric constraints and time-stamping enhances accuracy and synchronization capabilities.
  • The BMS serves as a valuable data layer for diverse client applications requiring human motion data.

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