Real-time monitoring of elderly using their connected walking stick

Abdelfetteh Lachtar (1) , Abdennaceur Kachouri (1) , Thierry Val (2, 3)

1 LETI - Laboratoire d'électronique et des technologies de l'Information [Sfax]
2 IRIT-RMESS - Réseaux, Mobiles, Embarqués, Sans fil, Satellites
3 UT2J - Université Toulouse - Jean Jaurès

Lots of aging people rely on a cane as a help device to ovoid many problems, such as balance loss and leg weakness, presumed to be at the origin of many fall incidents. In this paper, we present a new design and implementation of Canne3D system, a local monitoring system for elderly using their connected walking stick. Actually, the 3Dcane is modeled through consideration of real-time movements for a thorough understanding of the concerned person's state, including fall detection, steps counting and calculating the distance traveled. We have applied a multi-stage thresholding framework based on the acceleration value. Experiments have revealed that step-detection algorithm appears to be robust in term of detection rate and false positive rate.

Mots clés: M-Health; Thresholding; IoT; CANet; WiNo; Accelerometer; Magnetometer; Acceleration; Monitoring; Legged locomotion; Gravity; Senior citizens; Accelerometers; Three-dimensional displays

Domaines: Réseaux et télécommunications [cs.NI]; Système d'exploitation [cs.OS]; Architectures Matérielles [cs.AR]; Systèmes embarqués

Abdelfetteh Lachtar, Abdennaceur Kachouri, Thierry Val. Real-time monitoring of elderly using their connected walking stick. IEEE International Conference on Smart, Monitored and Controlled Cities (SM2C 2017), Feb 2017, Sfax, Tunisia. pp. 48-52. ⟨hal-01782578⟩