Monitoring technology is a form of surveillance that allows for the continuous, remote observation of users for security purposes. In recent months and years, many new forms of monitoring technology have emerged to keep users safe and secure.
This article aims to educate readers on some modern technologies that monitor safety-relevant information about users. It also covers how these techniques could be used in healthcare and other fields outside the traditionally observed sectors like the military or law enforcement. fall detection devices are the first technology discussed in this piece. These devices monitor elderly users and notify the user’s doctor if they have fallen. The second technology discussed is the monitoring of personal spaces using sensor grids. Finally, this article ends with a discussion on sensors that monitor human emotions.
Fall detection technologies are one-part security technology and one-part healthcare aid. With this device elderly users wear or carry a small device that monitors their every move. If the user falls or experiences some other type of accident, they will be notified by a doctor or caretaker that a serious event has occurred. This technology has been lauded as a viable alternative to more invasive techniques.
Several different sensor types of fall detection device are employed. Some of the styles include:
Sensor grids can be used to restrict the physical space of users. They help limit the amount of space a user can move around. Sometimes, these grids are installed on floors or walls so that they are invisible to users at all times. Other times, they are set up with cameras and microphones so that they can detect sound and movement. These cameras and microphones could be placed around an office or home but could also be clustered into one large sensor grid. Other people in the home or office can also detect these sensors, depending on their placement.
Sensor grids can monitor an individual’s thoughts, feelings, and emotions. These grids analyze the body’s electromagnetic field. With this information, they can detect changes that occur in an individual over time. For example, they can determine if a person is a smoker based on whether their “heart rate accelerates when they light up a cigarette.” If a decision needs to be made about whether the user should smoke or not, this information could help make that determination.
Many new healthcare techniques are emerging to replace antiquated medical practices that have been used for thousands of years.