Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 98, 179–195.
author keywords: Animal-computer interaction; Classification algorithm; Machine learning; Random Forest; Wearable technology
topics (OpenAlex): Human-Animal Interaction Studies; Animal Behavior and Welfare Studies; Hand Gesture Recognition Systems
TL;DR:
Results indicate that with proper parameter tuning, the system can successfully capture and reinforce postures to provide computer-assisted training of dogs and to provide a model for future ACI technologies.
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