Abstract
The traditional method for assessing the performance of the workers in industrial workspaces is by measuring their inertial movements. Presently in industries at the workspaces, every 20–30 workers will have an in-charge to monitor their work. Although workers are being assessed by those in-charges, there are still many mishaps happening in the industrial workspaces. Workers with poor work performance are earning the wages that are same as that of a worker with good performance. These expenditures may seem to be minimal in number, but recent statistics reveal that this affects the company's total productivity in a disastrous way. Some studies state that on an average, companies are losing $3,156 on the workers due to their idleness (Duffy J, Productivity report|bridging research and practice on personal productivity). Forbes magazines revealed that 31% of the workers are roughly wasting 1 h of time per day at their work apart from their allotted leisure times (Wasting time at work: the epidemic continues—the fobs report). Many companies in the UK with industrial workspaces claim that they lost 15.4 billion dollars annually only due to worker illness and their maintenance (Number of workplace injury and work-related ill health cases|Page 8—HSE, UK report). However, unfortunately, besides having distinct inertial measurement unit (IMU) systems in place, companies are facing many difficulties in identifying and estimating the worker performances and the health of the worker. Therefore, we have developed a system for overcoming the difficulties faced by using these IMUs using the power of IoT and Android application.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Duffy, Productivity report|bridging research and practice on personal productivity
Wasting Time At Work: The Epidemic Continues—The Fobs Report
Number of workplace injury and work-related ill health cases|Page 8—HSE, UK report
N. Vignais, M. Miezal, G. Bleser, K. Mura, D. Gorecky, F. Marin, Innovative system for real-time ergonomic feedback in industrial manufacturing. Appl. Ergon. 44(4), 566–574 (2013)
P. Lukowicz, J.A. Ward, H. Junker, M. Stäger, G. Tröster, A. Atrash, T. Starner, Recognizing workshop activity using body worn microphones and accelerometers, in International Conference on Pervasive Computing (Springer, Berlin, Heidelberg, 2004), pp. 18–32
K. Velusamy, D. Venkitaramanan, S.K. Vasudevan, P. Periasamy, B. Arumugam, Internet of things in cloud. J. Eng. Appl. Sci. 8(9), 304–313 (2013)
R. Sivaraman, S.K. Vasudevan, A. Kannegulla, A.S. Reddy, Sensor based smart traffic regulatory/control system. Inform. Technol. J. 12(9), 1863–1867 (2013)
E. Aravind, S.K. Vasudevan, Smart meter based on real time pricing. Proc. Technol. 21, 120–124 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Anudeep, J., Vasudevan, S.K., Kowshik, G., Vineeth, C., Nair, P.R. (2021). An Efficient and Innovative IoT-Based Intelligent Real-Time Staff Assessment Wearable. In: Thampi, S.M., Gelenbe, E., Atiquzzaman, M., Chaudhary, V., Li, KC. (eds) Advances in Computing and Network Communications. Lecture Notes in Electrical Engineering, vol 735. Springer, Singapore. https://doi.org/10.1007/978-981-33-6977-1_33
Download citation
DOI: https://doi.org/10.1007/978-981-33-6977-1_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-6976-4
Online ISBN: 978-981-33-6977-1
eBook Packages: EngineeringEngineering (R0)