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Complex, Natural, and Stereotypic Behaviors, Behavior Recognition, and Translational Research
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| Behavioral researchers today are frequently met with the challenges of finding adequate methods to observe and analyze animal behavior accurately, automatically, and in high throughput. Neurological diseases are being characterized by the behavioral phenotypes of mouse models and targeted mutations of genes expressed in the brain are revealing the underlying mechanisms of behavior. As a result the most comprehensive maps of the brain include molecular, cellular, system, and behavioral data. These dynamic, interactive, interdependent, and complex processes are reflected in the complex, natural, and stereotypic behaviors of lab animals. Based on the theory of computer vision, artificial intelligence, and image processing, Behavior Recognition technology utilizes the information of animal’s full body, automatically identifies its important body parts, measures the movements of the body parts, together with other techniques like temporal-sequence analysis, automatically determines WHAT the animal is doing, establishing a completely novel and new technology framework in lab animal behavior analysis. This framework provides the capacity to automatically detect the complex, natural, and stereotypic behaviors in lab animals, answering the ever-increasing demand and challenges that arise from neuroscience research, drug discovery, genetic research, and other science areas. Integrating and synchronizing behavior analysis with physiology measurements is embedded in this framework. This technology has been proved sound and effective and has been successfully applied in many research areas. Behavior Recognition technology has not only brought radical improvements in automated lab animal body behavior analysis, but also provided great opportunity for supporting translational research since the same technology foundation can be equally applied to human body behavior research. Extending the same technology foundation can help in animal facial expression as well as human facial expression research. |
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