Identifying human intention during assembly operations using wearable motion capturing systems including eye focus

Martin Manns; Tadele Belay Tuli; Florian Schreiber

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Identifying human intention during assembly operations using wearable motion capturing systems including eye focus

机译：使用包括眼睛焦点的可穿戴运动捕获系统在装配行动期间识别人类意图

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Simulating human motion behavior in assembly operations helps to create efficient collaboration plans for humans and robots. However, identifying human intention may require high quality human motion capture data in order to discriminate micro-actions and human attention. In this regard, a human motion capture setup that combines various systems such as joint body, finger, and eye trackers is proposed in combination with a methodology of identifying the intention of human operators as well as for predicting sequences of activities. The approach may lead to safer human-robot collaboration.

机译：模拟组装操作中的人类运动行为有助于为人类和机器人创造有效的协作计划。然而，识别人类意图可能需要高质量的人体运动捕获数据，以便歧视微动作和人类注意。在这方面，将各种系统组合的人体运动捕获设置与识别人类运营商的意图以及预测活动序列的方法结合使用诸如联合体，手指和眼跟踪器的各种系统。该方法可能导致更安全的人机器人协作。

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《Procedia CIRP》 |2021年第a期|共6页
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Martin Manns; Tadele Belay Tuli; Florian Schreiber;
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Operator 4.0human motion captureEye trackerhuman-robot collaboration;

机译：操作员4.0human Motion Captureeye Tatcherhuman-Robot Collaboration;

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专利

1. Wearable wireless sensing system for capturing human arm motion [J] . Lim C.K., Luo Z., Chen I.-M., Sensors and Actuators, A. Physical . 2011,第1期

机译：可捕获人体手臂运动的可穿戴无线传感系统
2. Data compensation based on the additional feature information for collaborative interactive operation with optical human motion capture system [J] . Xiangyang Li, Rui Wang, Zhe Xu, International journal of modeling, simulation and scientific computing . 2018,第6期

机译：基于附加特征信息的数据补偿，用于与光学人体运动捕捉系统进行协同交互操作
3. A wearable motion capture device able to detect dynamic motion of human limbs [J] . Shiqiang Liu, Junchang Zhang, Yuzhong Zhang, Nature Communications . 2020,第1期

机译：可穿戴运动捕获装置，能够检测人肢的动态运动
4. Capturing motions and forces of the human masticatory system to replicate chewing and to perform dental wear experiments [C] . Raabe D., Harrison A., Alemzadeh K., 2011 24th International Symposium on Computer-Based Medical Systems (CBMS 2011) . 2011

机译：捕捉人体咀嚼系统的运动和力以复制咀嚼并进行牙齿磨损实验
5. Development of marker-based human motion capture systems for assembly simulation and ergonomic analysis [D] . Puthenveetil, Sajeev Chirayil. 2013

机译：基于标记的人体运动捕获系统的开发，用于组装模拟和符合人体工程学分析
6. New generation of wearable goniometers for motion capture systems [O] . Alessandro Tognetti, Federico Lorussi, Gabriele Dalle Mura, 2014

机译：用于运动捕捉系统的新一代可穿戴式测角仪
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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Identifying human intention during assembly operations using wearable motion capturing systems including eye focus

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