Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control(Robot and Interface,<Special Section>Human Communication II)

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概要

• 論文の詳細を見る

• The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50fps for each image input with a 2.8GHz CPU PC.

• 社団法人電子情報通信学会の論文
• 2006-06-01

著者

• Hoshino Kiyoshi

  Graduate School Of Systems And Information Engineering University Of Tsukuba

• Tanimoto Takanobu

  Graduate School Of Systems And Information Engineering University Of Tsukuba

関連論文

• Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control(Robot and Interface,Human Communication II)
• Control of Speed and Power in a Humanoid Robot Arm Using Pneumatic Actuators for Human-Robot Coexisting Environment
• Dexterous Robot Hand Control with Data Glove by Human Imitation(Robot and Interface,Human Communication II)

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