使用机器学习的人类行为分析和人脸检测

A. Dohare, Megha Sharma, Ravi Sahnker Pathak
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引用次数: 0

摘要

人类行为分析是一个很难维持正常人类的方面。这种人类行为分析通常是不可预测的。在这种情况下,机器学习等先进技术的结合至关重要。机器学习技术在构建所有人类数据并分析其行为模式(考虑响应的准确性和频率)方面发挥着重要作用。考虑到人类行为分析的主要用途,本研究对人类行为分析的多个因素进行了评估。本研究遵循的是基于少数具体和现实目标的二次研究方法。伦理考虑部分陈述了本研究所坚持的伦理规范。考虑到所有的研究目标,本研究收集的所有数据都进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human behaviour analysis and face detection using machine learning
Human behaviour analysis is a difficult aspect to maintain for a normal human being. This human behaviour analysis is unpredictable generally. The alignment of advanced technology such as machine learning is essential in this context. The machine learning technology plays an important role in structuring all human data and analysis their behavioural pattern considering accuracy and frequency of response. This research has evaluated multiple factors of human behaviour analysis considering its major of utilisation. This research has followed secondary research method based few specific and realistic objectives. An ethical consideration section states the ethical norms that this research has maintained. All the collected data of this research have been analysed considering all research objectives.
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