id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_egt7fmczgjgbpjnjxzpgy5npoy	Antonio García-Domínguez	Deep artificial neural network based on environmental sound data for the generation of a children activity classification model	2020	22	.pdf	application/pdf	10188	1327	56	Keywords Children activity recognition, Environmental sound, Machine learning, Deep artificial neural network, Environmental intelligence, Human activity recognition In works related to human activity recognition and classification, different data sources capture process when working on human activity recognition using environmental In the area of children activity recognition and classification common data sources For the generation of a human activity recognition and classification model, it is classification model using environmental sound data, working with a 34-feature set developed a children activity recognition and classification model using environmental artificial neural network in the generation of a children activity classification model � Deep artificial neural networks are efficient in generating children activity classification Human activity recognition from smart watch sensor data Deep artificial neural network based on environmental sound data for the generation of a children activity classification model Deep artificial neural network based on environmental sound data for the generation of a children activity classification model	./cache/work_egt7fmczgjgbpjnjxzpgy5npoy.pdf	./txt/work_egt7fmczgjgbpjnjxzpgy5npoy.txt