The research outlined in this paper was conducted to allow real-time processing, transmission and presentation of data to swimming coaches and subsequently their swimmers in a training environment, focused on providing information relevant to strokes in free swimming. This was achieved using a wearable wireless sensor and embedded programming techniques, using accelerations involved in the swimming stroke to provide relevant features for coaches. Current methods used do not offer real-time response to coaches, which results in the lack of real-time feedback and significantly increased post-session analysis time. Filtering and signal processing algorithms are described here, which allow real-time data analysis to be embedded within a wireless sensor node. The system significantly reduces the time for processing acquired data and has delivered a novel monitoring device suitable for operation within the harsh environment of the pool.
PurposeThe purpose of this paper is to present an update of and the latest results from work on a project aimed at monitoring electronic products during the whole life cycle with embedded wireless components.Design/methodology/approachBusiness processes of the electronic manufacturing supply chain were analysed. A business case and the system opportunities for life cycle monitoring, based on embedded wireless components system were developed. Radio frequency identification (RFID) assembly technology was adapted for the integration of components into a multi‐layer printed circuit board (PCB).FindingsBy storing product‐related information into electronic products, tracing of components, monitoring of processes, operations and costs, environmentally optimised recycling can be enhanced.Research limitations/implicationsThe research undertaken so far relates to the embedding of RFID tags into PCBs. Wireless components with more processing power will be used in the next project phase.Originality/valueThe paper details how wireless components can be embedded into multi‐layer PCBs and how a business case for a life cycle monitoring system can be established.
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