工业环境中的智能可穿戴内:系统审查
Masoud Abdollahi1, Quan Zhou1, Wei Yuan1
1Research and Development Division, Hitachi America Ltd, Farmington Hills, MI, USA.
Applied ergonomics
|March 5, 2024
概括
智能可穿戴内通过识别活动和检测危险,提高工业安全和生产率. 需要进一步的研究来提高模型的准确性和广泛应用的通用性.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 可穿戴技术可穿戴技术
- 人与计算机的交互
背景情况:
- 工业环境对工人的安全和生产力构成风险.
- 智能可穿戴内提供不引人注目的监控解决方案.
- 这些技术分析工人的活动和物理参数.
研究的目的:
- 系统地审查在工业环境中使用智能可穿戴内的情况.
- 分析它们的应用,分析方法和未来潜力.
- 为工业界识别智能内技术的趋势.
主要方法:
- 对27篇关于工业环境中智能内的论文进行系统审查.
- 应用趋势,方法和行业的评估.
- 识别流行的机器学习模型和分析活动.
主要成果:
- 67%的研究集中在安全和生产力的活动/手势识别上.
- 疲劳和跌倒检测在10%的研究中得到了解决.
- 建筑行业占主导地位 (60%),神经网络和SVM是ML的流行模型.
结论:
- 智能内显示出提高工业安全和生产率的前景.
- 模型的准确性,可靠性和通用性是关键的挑战.
- 为了更广泛的工业采用,包括制造业,需要进一步的研究.
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