Abstract
By virtue of their upright locomotion, similar to that of humans, motion analysis of non-human primates has been widely used in order to better understand musculoskeletal biomechanics and neuroscience problems. Given the difficulty of conducting a marker-based infrared optical tracking system for the behavior analysis of primates, a 2-dimensional (D) video analysis has been applied. Distinct from a conventional marker-based optical tracking system, a depth image sensor system provides 3-D information on movement without any skin markers. The specific aim of this study was to develop a novel algorithm to analyze the behavioral patterns of non-human primates in a home cage using a depth image sensor. The behavioral patterns of nine monkeys in their home cage, including sitting, standing, and pacing, were captured using a depth image sensor. Thereafter, these were analyzed by observers’ manual assessment and the newly written automated program. We confirmed that the measurement results from the observers’ manual assessments and the automated program with depth image analysis were statistically identical.
Highlights
The motion analysis of non-human primates provides vital data of animal behavior for neuroscience studies. [1,2,3,4,5] Non-human primates serve as the important animal models for behavioral and cognitive studies because of their similarity to humans
We developed an automated analysis program for behavioral patterns of non-human primates on the basis of depth image video
The program developed in this study was able to measure selected behavioral patterns of non-human primates in a home cage with a single low-cost depth image camera
Summary
The motion analysis of non-human primates provides vital data of animal behavior for neuroscience studies. [1,2,3,4,5] Non-human primates serve as the important animal models for behavioral and cognitive studies because of their similarity to humans. [1,2,3,4,5] Non-human primates serve as the important animal models for behavioral and cognitive studies because of their similarity to humans. They serve as crucial models of degenerative brain diseases, such as Alzheimer’s disease, Parkinson’s disease, and stroke [6,7,8,9]. Many studies have measured non-human primate behavior through video recording or direct observation by researchers [12,13,14,15]. These conventional methods are limited in that it is difficult to reproduce the measurement results due to human errors and the subjective decisions made by individual researchers, given that the researchers did not complete all of the measurements of all of the behavioral events
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