id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-133273-kvyzuayp	Christ, Andreas	Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)	2020-10-05		.txt	text/plain	42472	2376	55	During the literature review it was evident the presence of few works dedicated to evaluating comprehensively the complete cycle of biofeedback, which comprises using the wearable devices, applying Machine Learning patterns detection algorithms, generate the psychologic intervention, besides monitoring its effects and recording the history of events [9, 3] . This solution is being proposed by several literature study about stress patterns and physiological aspects but with few results, for this reason, our project will address topics like experimental study protocol on signals acquisition from patients/participants with wearables to data acquisition and processing, in sequence will be applied machine learning modeling and prediction on biosignal data regarding stress (Fig. 1) . We will present first results of the project concerning a new process model for cooperating data scientists and quality engineers, a product testing model as knowledge base for machine learning computing and visual support of quality engineers in order to explain prediction results.	./cache/cord-133273-kvyzuayp.txt	./txt/cord-133273-kvyzuayp.txt