This paper presents Centinela, a system that combines acceleration data with vital signs to
achieve highly accurate activity recognition. Centinela recognizes five activities: walking,
running, sitting, ascending, and descending. The system includes a portable and
unobtrusive real-time data collection platform, which only requires a single sensing device
and a mobile phone. To extract features, both statistical and structural detectors are applied,
and two new features are proposed to discriminate among activities during periods of vital …