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A Practical Platform for Combining Sensor-Measurement from Body Sensor Networks with Flexible Human-Provided Tagging

Recent developments in wearable sensor technologies allow for collecting various information about the person in different conditions. This data is often of limited use without proper interpretation provided by human experts. We propose a practical platform that collects long-term data from multiple body and ambient sensors along with human-provided tagging in practical and mobile conditions. We address the platform requirements of security, privacy, and trustworthiness. Our approach will be tested in a case study focused on stress monitoring at work.