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Dr Aparajithan Sivanathan; Dr Mohamed Abdel-Wahab; Dr Frédéric Bosché

Dr Aparajithan Sivanathan; Dr Mohamed Abdel-Wahab; Dr Frédéric Bosché

Premier Award Winner 2015
AT-BAN: Activity Tracking and Body Area Networks

Research Abstract

Musculoskeletal disorders (MSD) are often developed among workers carrying out non-sedentary jobs from: performing forceful exertions, lifting or carrying loads, getting exposure to vibrations, undertaking repetitive bending, twisting, or crouching. Long term MSDs are developed by exerting excessive and repetitive strain to a specific muscle or bone which is generally linked to workers’ daily physical activities.


The AT-BAN system is developed for tracking physiological activities through various sensors and devices, networked around the human body. This system is intended to detect and analyse MSD risks by capturing accurate physical activities, thereby contributing to prevention and early diagnostics of work-related MSDs. The AT-BAN system allows integrating a wide range of wearable electronic devices into an operational wireless body area network, where data can be captured, analysed in real-time, or stored for post-process. Integrating cutting edge sensors and devices, AT-BAN enables acquisition of accurate, quantitative and repeatable data. This data can be used for providing personalised feedback, and creating a currently non-existent, yet widely usable benchmark.


AT-BAN project’s multi-disciplinary team also includes Dr Enrique Valero. The project would like to acknowledge the project funders, CITB, and stakeholders, in particular Forth Valley College and Scottish Water.

Winner's Bios

Dr Aparajithan Sivanathan

Heriot-Watt University, UK

Aparajithan is a post-doctoral researcher at Heriot-Watt University, Edinburgh. He comes from a multidisciplinary background of mechanical, electronics and computing. Aparajithan received an MSc in Mechatronics engineering from King’s College London and a PhD from Heriot-Watt. The Ubiquitous Integration and Temporal Synchronisation (UbiITS) Framework developed through his PhD has been implemented in systems from various domains such as Neurocybernetics, Gaming, and Computer Aided Design. Before entering the research career, he worked as an R&D engineer in the UK electronics manufacturing industry. His current research interests are in the area of real-time cyber physical systems and wireless body area networks. 

Dr Mohamed Abdel-Wahab

Heriot-Watt University, UK

Mohamed is a lecturer in Construction Technology at Heriot-Watt University in Edinburgh. He is also a member of the Royal Academy of Engineering Centre of Excellence in Sustainable Building Design and a Fellow of the UK Higher Education Academy. He has extensive research experience in construction skills/training issues with over 40 publications. His work is cited by the UK CES, OECD and he has informed the Regulatory Impact Assessment (RIA) of the Industrial Training Levy Order 2009-2012. Mohamed’s portfolio of applied research is in excess £0.5million which is funded by various organisations, such as: CITB, Scottish Government, & European Regional Development Fund.

Dr Frédéric Bosché

Heriot-Watt University, UK

Frédéric is an associate professor and leader of the CyberBuild research lab at Heriot-Watt University. He has 15 years of experience in conducting research at the interface between construction engineering and management, construction IT and computer vision. Currently, he focuses on the application of 3D imaging (e.g. laser scanning) to the survey of built facilities including historic buildings, visualisation technologies for professional and stakeholder engagement, and wearable technologies for worker health monitoring. Frédéric is associate editor of the International Journal of Automation in Construction and member of the board of directors of the International Association for Automation and Robotics in Construction.


Judge's comments

“Occupational health in the construction sector is a huge issue and much of the iceberg remains below surface. There is an urgent need to take the issue more seriously. Although AT-BAN is still in the proof-of-concept stage, it could potentially have a significant impact on occupational health. The panel was especially pleased to an example of digital innovation which promises to contribute to the longevity and wellbeing of construction workforce.”