Quang Viet Vo

Learn More
Most existing mobile devices nowadays are powered by a limited energy resource. With the tendency using machine learning on mobile devices for activity recognition (AR), recent achievements still remain restrictions including low accuracy and lacking of evidences about power consumption of feature extraction and classification. Moreover, keeping constantly(More)
Fall injury is a health-threatening incident that may cause instant death. There are many research interests aimed to detect fall incidents as early as possible. Fall detection is envisioned critical on ICT-assisted healthcare future. In this paper, we study fall indicators from smartphone perspective. We use smartphone built in accelerometer and(More)
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt età la diffusion(More)
Nowadays, recognizing human activities is an important subject; it is exploited widely and applied to many fields in real-life, especially health care or context aware application. Research achievements are mainly focused on activities of daily living which are useful for suggesting advises to health care applications. Falling event is one of the biggest(More)
Many achievements have been announced with real time running capability for activity recognition (AR) using mobile accelerometer. However, they also have weak points including low accuracies especially in multiple-subject activity recognition and lacking of evidences about power consumption. In this paper, we contribute a novel method for extracting(More)
  • 1