---
title: "Learning to Classify Observed Motor Behavior"
authors:
  - "Wayne Iba"
doi: ""
url: "https://ijcai.org/proceedings/1991/107"
pdf: "https://ijcai.org/proceedings/1991/0107.pdf"
venue: "Proceedings of the Twelfth International Joint Conference on Artificial Intelligence"
year: 1991
pages: "732-737"
track: "Learning Be Knowledge Acquisition"
keywords:
---

# Learning to Classify Observed Motor Behavior

Wayne Iba

*Proceedings of the Twelfth International Joint Conference on Artificial Intelligence*, pages 732-737.

## Abstract

We present a representational format for observed movements The representation has a temporal structure relating components of a single complex movement. We also present OxBow, an unsupervised learning system, which constructs classes of these movements. Empirical results indicate that the system builds abstract movement concepts with appropriate component structure allowing it to predict the latter portions of a partially observed movement.