Abstract
Ambient Assisted Living (AAL) has become an attractive research topic due to growing interest in remote monitoring of older people. Development in sensor technologies and advances in wireless communications allows to remotely offer smart assistance and monitor those people at their own home, increasing their quality of life. In this context, Wireless Acoustic Sensor Networks (WASN) provide a suitable way for implementing AAL systems which can be used to infer hazardous situations via environmental sounds identification. Nevertheless, satisfying sensor solutions have not been found with the considerations of both low cost and high performance. In this paper, we report the design and implementation of a wireless acoustic sensor to be located at the edge of a WASN for recording and processing environmental sounds which can be applied to AAL systems for personal healthcare because it has the following significant advantages: low cost, small size, audio sampling and computation capabilities for audio processing. The proposed wireless acoustic sensor is able to record audio samples at least to 10 kHz sampling frequency and 12-bit resolution. Also, it is capable of doing audio signal processing without compromising the sample rate and the energy consumption by using a new microcontroller released at the last quarter of 2016. The proposed low cost wireless acoustic sensor has been verified using four randomness tests for doing statistical analysis and a classification system of the recorded sounds based on audio fingerprints.
Highlights
As one of the fastest growing technologies in the emerging Internet of Things (IoT) environment, low power wireless sensor networks are expected to realize IoT applications and to provide connectivity for remote smart objects
As was discussed in this paper, in recent years, many authors have experienced a growing interest in remote monitoring of older people, and several systems have been proposed in the literature
These systems are commonly termed as Ambient Assisted Living (AAL) systems, but the acoustic sensors were not designed with low cost and audio processing requisites
Summary
As one of the fastest growing technologies in the emerging Internet of Things (IoT) environment, low power wireless sensor networks are expected to realize IoT applications and to provide connectivity for remote smart objects. The basic concept of IoT is that various smart objects can be automatically linked into a network for interacting with humans through perception and networking technologies [1]. Smart objects in the IoT have the ability to send information through the Internet to provide the interaction among multiple things and people. IoT is opening tremendous opportunities for novel applications that promise to improve the quality of people life.
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