Human Interventions in the Smart Factory – A Case Study on Co-Designing Mobile and Wearable Monitoring Systems with Manufacturing Staff

Author(s):  
Matthias Baldauf ◽  
Sebastian Müller ◽  
Arne Seeliger ◽  
Tobias Küng ◽  
Andreas Michel ◽  
...  
Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aarthy Prabakaran ◽  
Elizabeth Rufus

Purpose Wearables are gaining prominence in the health-care industry and their use is growing. The elderly and other patients can use these wearables to monitor their vitals at home and have them sent to their doctors for feedback. Many studies are being conducted to improve wearable health-care monitoring systems to obtain clinically relevant diagnoses. The accuracy of this system is limited by several challenges, such as motion artifacts (MA), power line interference, false detection and acquiring vitals using dry electrodes. This paper aims to focus on wearable health-care monitoring systems in the literature and provides the effect of MA on the wearable system. Also presents the problems faced while tracking the vitals of users. Design/methodology/approach MA is a major concern and certainly needs to be suppressed. An analysis of the causes and effects of MA on wearable monitoring systems is conducted. Also, a study from the literature on motion artifact detection and reduction is carried out and presented here. The benefits of a machine learning algorithm in a wearable monitoring system are also presented. Finally, distinct applications of the wearable monitoring system have been explored. Findings According to the study reduction of MA and multiple sensor data fusion increases the accuracy of wearable monitoring systems. Originality/value This study also presents the outlines of design modification of dry/non-contact electrodes to minimize the MA. Also, discussed few approaches to design an efficient wearable health-care monitoring system.


Author(s):  
Preethi S. ◽  
Prasannadevi V. ◽  
Arunadevi B.

Health monitoring plays a vital role to overcome the health issues of the patients. According to research, approximately 2000 people die due to carelessness of monitoring their health. Wearable monitoring systems record the activities of daily life. A 24-hour wearable monitoring system was developed and changes were identified. This project is designed for helping the soldiers to maintain their health conditions and to identify their health issues at war's end. Different health parameters are monitored using sensors, and the data are transmitted through GSM to the receiver, and the received data are analyzed using convolutional neural networks, which is performed in cloud IoT. If any abnormalities are found during the analyzing process, the message is sent to military personnel and the doctor at the camp so that they could take necessary actions to recover the ill soldier from the war field and provide emergency assistance on time. The location of the soldier is also shared using the input from GPS modem in the smart jacket.


2017 ◽  
Vol 2017 (1) ◽  
pp. 2017422
Author(s):  
D. Zuroski ◽  
T. Johnson ◽  
C. Benson ◽  
F. Stroud

In December of 2014, there was a substantial shortage (42,000 gallons) of Jet fuel noted in the inventory at the tank farm that supplies jet fuel to the Honolulu International Airport. The tank farm is directly adjacent to Ke'ehi Lagoon and in near proximity to Honolulu Harbor. Jet fuel was found floating on the water table (less than two feet below the ground surface) throughout a large area of the tank farm, as well as outside the tank farm and within 150 feet of the lagoon. EPA, the State of Hawaii, and the RP utilized a streamlined and nimble approach to Unified Command in performing the successful Emergency Response. Operations were conducted in close coordination with the USCG and Honolulu FD. All actions were designed to keep the fuel from reaching the surface water. This case study will detail the line of attack which included aggressive extraction the jet fuel, definition of the extent of the (subsurface) release, and design and installation of engineered capture, removal, and monitoring systems.


2001 ◽  
Vol 89 (10) ◽  
pp. 1498-1517 ◽  
Author(s):  
M. Greiffenhagen ◽  
D. Comaniciu ◽  
H. Niemann ◽  
V. Ramesh

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