Wireless and Optical Sensing for IoT · Study deck

Presence and Vital-Sign Sensing with Radar and Wi-Fi

Radio Remi is helping a care-home team check whether a room is occupied at night.

Radio Remi is your guide for this deck.

vital-sign-sensingradar-sensingwifi-csi
iotclass.org

After studying this chapter

Learning objectives

You will be able to:

  • Explain how small chest displacement changes radar phase and Wi-Fi channel measurements.
  • Separate simulated breathing and heartbeat bands while detecting motion contamination.
  • Bound presence and wellness claims by geometry, people count, consent, and validation evidence.
  • Explain: Radio Remi is helping a care-home team check whether a room is occupied at night.
iotclass.org

Major section

Start With the Story

Radio Remi is helping a care-home team check whether a room is occupied at night.

  • A camera would reveal too much.
  • A simple motion sensor may miss a sleeping person.
  • Remi asks the team to make a limited claim: detect a steady breathing-like pattern, reject large motion, and call for another check when the signal is unclear.
iotclass.org

Major section

Overview

A radar receiver can track phase in one range bin; Wi-Fi CSI can track changes across subcarriers and antenna paths.

  • Slow chest motion often places breathing energy near 0.1–0.5 Hz, while a smaller heartbeat cue may appear near 0.8–2 Hz.
  • These bands are useful teaching ranges, not universal diagnostic limits.
  • Geometry, clothing, posture, motion, other people, noise, and hardware drift can move or hide the peaks.

Numbers to remember

0.8–2 Hzwhile a smaller heartbeat cue may appear near 0.8–2 Hz.

Why it matters

Radar and Wi-Fi can sense people because bodies change reflected or multipath signals.

iotclass.org

Major section

Turn displacement into phase

For a monostatic radar, a target displacement $x(t)$ changes the round-trip path by $2x(t)$.

  • The corresponding phase change is approximately $\Delta\phi(t)=4\pi x(t)/\lambda$, where $\lambda$ is wavelength.
  • Shorter wavelengths create more phase change for the same motion, but wrapping, noise, multipath, and poor target selection still matter.
  • Wi-Fi CSI offers a related multipath cue across communication links, yet its phase also carries clock and hardware errors that need calibration.
iotclass.org

Major section

Turn displacement into phase (continued)

An FMCW radar first selects a range bin before following phase over slow time.

  • That range step can separate people at different distances, but it cannot always separate people at the same distance or overlapping angles.
  • A single-tone Doppler sensor has no range bins, so multiple subjects mix more easily.
  • The sensing layout, antenna field of view, update rate, and no-decision rule are part of the measurement contract.
iotclass.org

Major section

Read the displacement and spectrum

The broad blue swing is breathing, while the smaller green ripple is the heartbeat component.

  • The amber burst is deliberate gross motion, so its window must not produce a vital-sign estimate.
Simulated chest displacement, contaminated motion, and frequency bands for breathing and heartbeat cues.
Simulated chest displacement, contaminated motion, and frequency bands for breathing and heartbeat cues.
iotclass.org

Major section

Filter without hiding artefacts

A band-pass filter can separate slow breathing energy from faster heartbeat energy in a clean simulated trace.

  • Large motion spreads energy across frequencies and can shift phase by many cycles.
  • A robust pipeline first detects motion or low signal quality, then abstains before calculating rates.
  • Frequency resolution depends on observation time.

Numbers to remember

0.1 HzA ten-second window has bins about 0.1 Hz apart
iotclass.org

Major section

Handle more than one person

Two people may occupy different radar range bins, but equal range, side lobes, reflections, or a narrow Wi-Fi path can mix them.

  • Beamforming and several antennas can add angle evidence; multiple links can add spatial diversity.
  • Neither removes the need to validate the room, poses, bedding, pets, fans, and everyday movements.
  • A detector trained on one adult lying still must not silently become a monitor for children, patients, or crowded rooms.
iotclass.org

Major section

Place products inside the evidence boundary

Consumer sleep and elder-care products may use radar to support presence, motion, respiration-rate, or sleep-pattern features.

  • Product labels and authorisations determine the claim; the sensing method alone does not.
  • A wellness trend is not a diagnosis, and an unauthorised monitor must not replace supervision, clinical assessment, or an approved safety device.
  • The lab in this chapter teaches phase and filtering with synthetic signals only.
iotclass.org

Major section

Summary

Phase can reveal tiny periodic displacement, but the final claim depends on target selection, observation time, motion rejection, geometry, and validation.

  • Radar phase changes with round-trip displacement; Wi-Fi CSI changes with multipath.
  • Breathing and heartbeat bands help separate a clean fixture, while motion and multiple people can defeat the estimate.
  • Synthetic filtering practice does not validate a medical device, consumer product, or occupied room.
iotclass.org

Deck summary

Key takeaways

Radio Remi is helping a care-home team check whether a room is occupied at night.

  • A radar receiver can track phase in one range bin; Wi-Fi CSI can track changes across subcarriers and antenna paths.
  • For a monostatic radar, a target displacement $x(t)$ changes the round-trip path by $2x(t)$.
  • An FMCW radar first selects a range bin before following phase over slow time.
  • The broad blue swing is breathing, while the smaller green ripple is the heartbeat component.
iotclass.org

Retrieval practice

Recall check

Radio Remi says: answer from memory, then check your reasoning.

Q1Why should a large-motion window be rejected before estimating breathing or heart rate?

AMotion can spread energy across both bands and create convincing false peaks
BMotion always improves frequency resolution
CThe radar phase becomes a medical diagnosis
DEvery person moves at exactly the same frequency
Show answer

Answer: A Large movement can create broadband or wrapped phase changes that overwhelm breathing and heartbeat cues, so the safe output is no estimate.

Q2What does a 0.25 Hz peak prove here?

AA simulated 15-breaths-per-minute cue was recovered
BA real patient is healthy
CSeveral people were separated
DNo image means no privacy duty
Show answer

Answer: A Only the known synthetic breathing cue was recovered.

iotclass.org

Print reference

Answers

Answer key.

  1. A · Large movement can create broadband or wrapped phase changes that overwhelm breathing and heartbeat cues, so the safe output is no estimate.
  2. A · Only the known synthetic breathing cue was recovered.
iotclass.org