Tracking a person’s behaviour in a smart house

About this item

Title

Tracking a person’s behaviour in a smart house

Content partner

Unitec

Collection

Research Bank

Description

This paper proposes to use machine learning techniques with ultrasonic sensors to predict the behavior and status of a person when they live solely inside their house. The proposed system is tested on a single room. A grid of ultrasonic sensors is placed in the ceiling of a room to monitor the position and the status of a person (standing, sitting, lying down). The sensors readings are wirelessly communicated through a microcontroller to a cloud. An intelligent system will read the sensors va...

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Format

Research paper

Research format

Conference item

Date created

2018-11

Creator

Chand, G. / Ali M. / Barmada, Bashar / Liesaputra, Veronica / Prado, G.

URL

https://hdl.handle.net/10652/4765

Related subjects

smart homes / people with supported needs / behaviour tracking / ultrasonic sensors / machine learning / older people / aged care / Adaptive Agents and Intelligent Robotics / Aged Health Care

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