A CNN Based Automated Activity and Food Recognition Using Wearable Sensor for Preventive Healthcare

Recent developments in the field of preventive healthcare have received considerable attention due to the effective management of various chronic diseases including diabetes, heart stroke, obesity, and cancer. Various automated systems are being used for activity and food recognition in preventive h...

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Veröffentlicht in:	Electronics (Basel) 2019-12, Vol.8 (12), p.1425
Hauptverfasser:	Hussain, Ghulam, Maheshwari, Mukesh Kumar, Memon, Mudasar Latif, Jabbar, Muhammad Shahid, Javed, Kamran
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Activity recognition Algorithms Artificial neural networks Automation Chronic illnesses Design Energy Experimentation Food Health care Image segmentation Ingestion Internet of Things Medical research Motion sensors Obesity Piezoelectricity Preventive medicine Sensors Smartwatches Support vector machines Tackiness Wearable computers Wearable technology Weight control
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