High-end components that conduct complicated tasks automatically are a part of modern industrial systems. However, in order for these parts to function at the desired level, they need to be maintained by qualified experts. Solutions based on Augmented Reality (AR) have been established with the goal of raising production rates and quality while lowering maintenance costs. With the introduction of two unique interaction interfaces based on wearable targets and human face orientation, we are proposing hands-free advanced interactive solutions in this study with the goal of reducing the bias towards certain users. Using traditional devices in real time, a comparison investigation using alternative interaction interfaces is conducted. The suggested solutions are supported by various AI powered methods such as novel gravity-map based motion adjustment that is made possible by predictive deep models that reduce the bias of traditional hand- or finger-based interaction interfaces

翻译：现代工业系统中包含能够自动执行复杂任务的高端组件。然而，为确保这些部件达到预期运行水平，需由合格专家进行维护。基于增强现实（AR）的解决方案已被开发，旨在降低维护成本的同时提高生产效率和产品质量。本研究提出两种基于可穿戴目标标记与人脸朝向的独特交互接口，旨在降低对特定用户的偏好偏差，从而提供免手动的高级交互方案。通过传统设备的实时对比研究，我们采用不同的替代交互接口开展比较实验。所提出的方案由多种AI驱动技术支撑，例如基于新型重力映射的运动校正机制，该机制通过预测性深度模型实现，可减少传统手部或手指交互接口存在的偏差问题。