Sensor Data Analysis and Management

8 Feature Detection and Extraction Techniques for Sensor Data

Dr. L. Priya, Ms. A. Sathya, and Dr. S. Thanga Revathi

Department of IT, Rajalakshmi Engineering College, Chennai

8.1 Introduction

It has been a challenging task to ensure a reasonable quality of life in most countries. And now, achieving a reasonable quality of life has been greatly aided by the huge upgrades in medication and open social insurance. Subsequently, there is an immense interest in the advancement of dependable remote well-being observing [1], which could be anything but difficult to use for elderly people. Remote human well-being observing incorporates sensors, actuators, and propelled correspondence innovations and provides opportunities for the patient to remain at their home rather than in costly medical service facilities. This framework screens the physiological indications of the patients progressively, can make them stable under some well-being conditions, and passes this input to specialists. Why are these frameworks so agreeable and important to utilize? The primary explanation is that they are convenient and simple to use, with portable size and weight [2]. The primary model is a healthcare monitoring system (HMS) that has been designed using microcontrollers or embedded processors to track and send SMSs to a specialist’s or caretaker’s mobile phone, so that they can help in this scenario [3, 4].

The primary advantage of such setups is that the user is able to carry the system anywhere, anytime ...