Human activity recognition, tracking and classification is an essential trend in assisted living systems that can help support elderly people with their daily activities.Traditional activity recognition approaches depend on vision-based or sensor-based techniques.Nowadays, a novel promising technique has obtained more attention, namely device-free
Local government broadband policies for areas with limited Internet access
Despite their wide diffusion in developed countries, broadband services are still limited in areas where providing them is not profitable for private telecom carriers.To address this, many local governments in Japan have implemented broadband deployment projects subsidized by the national government.In this paper, we discuss local government broadb
On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals.
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques.The model training is based on SAGE DEODERANT biosignals acquired in a randomized controlled trial.Wearable sensors were used to collect electrocardiogram, electrodermal activity, and
Tricho-Dento-Osseous Syndrome: Diagnosis and Dental Management
Tricho-dento-osseous (TDO) syndrome is a rare, autosomal dominant disorder principally characterised by curly hair at infancy, severe enamel hypomineralization and hypoplasia and taurodontism of teeth, sclerotic bone, and other defects.Diagnostic criteria are based on the generalized enamel defects, severe taurodontism especially of the mandibular