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A. Ibarguren, I. Maurtua and B. Sierra, “Layered Architecture for Real Time Sign Recognition: Hand Gesture and Movement,” Engineering Applications of Artificial Intelligence, Vol. 23, No. 7, 2010, pp. 1216-1228. doi:10.1016/j.engappai.2010.06.001

has been cited by the following article:

• TITLE: Emergency Gesture Communication by Patients, Elderly and Differently Abled with Care Takers Using Wearable Data Gloves

  AUTHORS: Kalvina Rajendran, Andrews Samraj, Maheswari Rajavel

  KEYWORDS: Wearable Computing; Bio-Signal Processing; Robotic Interface; Affective-Gesture Computing

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.1, February 27, 2013

  ABSTRACT: The Healthcare monitoring on a clinical base involves many implicit communication between the patient and the care takers. Any misinterpretation leads to adverse effects. A simple wearable system can precisely interpret the implicit communication to the care takers or to an automated support device. Simple and obvious hand movements can be used for the above purpose. The proposed system suggests a novel methodology simpler than the existing sign language interpretations for such implicit communication. The experimental results show a well-distinguished realization of different hand movement activities using a wearable sensor medium and the interpretation results always show significant thresholds.