computer science

Human presence detection

Human presence detection is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Human presence detection rather than just read about it. In short: Human presence detection is a range of technologies and methods for detecting the presence of a human body in an area of interest (AOI), or verification that computer, smartphone (or other device controlled by software) is operated by human. Software and hardware technologies are used for human presence detection.

Key takeaways

Human presence detection belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Human presence detection to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Human presence detection from memory before moving on to harder problems.

Reference excerpt

Human presence detection is a range of technologies and methods for detecting the presence of a human body in an area of interest (AOI), or verification that computer, smartphone (or other device controlled by software) is operated by human. Software and hardware technologies are used for human presence detection. Unlike human sensing, that is dealing with human body only, human presence detection technologies are used to verify for safety, security or other reasons that human person, but not any other object is identified. Methods can be used for internet security authentication. These include software technologies such CAPTCHA and reCAPTCHA, as well as hardware technologies such as:

Radar technology Image recognition of human shapes Security switch Fingerprint sensors Infrared detectors Acoustic sensors Vibration sensors

Examples reCAPTCHA is a CAPTCHA-like system designed to establish that a computer user is human (normally in order to protect websites from bots) and, at the same time, assist in the digitization of books. A sensor based on a piezoelectric film (EMFI sensor) is used to detect mechanical vibrations and the presence of a person seated on the rear bench of a vehicle. In order to distinguish between humans, heavy objects, and empty seats, signal processing techniques are used. mmWave radar technology can also be used to detect the presence and location of humans in vehicles.

History The first robot to successfully demonstrate a static motion detection capability was ROBART I, which was Everett's 1981 thesis project at the Naval Postgraduate School. In 1997 CAPTCHA ("Completely Automated Public Turing test to tell Computers and Humans Apart") was invented. This test is used to ensure that computer is operated by a human, preventing spam robots.

See also Face detection – Identification of human faces in images Human sensing – Technologies to detect a human presence CAPTCHA – Test to determine whether a user is human Defense strategy (computing) – Concept to reduce computer security risks Security switch – Physical software-controlling switch

References

Illustrations

Worked examples

Example 1 — a first encounter with Human presence detection

Start with the simplest possible case. Write down what Human presence detection claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Human presence detection before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Human presence detection ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Human presence detection

In research: Human presence detection appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Human presence detection in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Human presence detection is common in secondary-school and first-year university syllabi. It links to neighbouring topics Human–computer interaction, Sensors, so understanding it makes those chapters shorter.
In everyday life: Look for Human presence detection outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Human presence detection in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Human presence detection means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Human presence detection out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Human presence detection in simple terms?

Why does Human presence detection matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Human presence detection?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Human presence detection.