Wireless and Optical Sensing for IoT · Study deck

Privacy and Consent for Wireless and Optical Sensing

Radio Remi is asked to count people in a shared study room.

Radio Remi is your guide for this deck.

sensing-privacyconsentdata-minimisation
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After studying this chapter

Learning objectives

You will be able to:

  • Identify people, inferences, and harms across a wireless or optical sensing flow.
  • Apply purpose limitation, minimisation, notice, lawful-basis, retention, and access questions.
  • Produce a downloadable decision record with an abstention and human-review path.
  • Explain: Radio Remi is asked to count people in a shared study room.
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Major section

Start With the Story

Radio Remi is asked to count people in a shared study room.

  • The sensor stores no images, so the team first calls it anonymous.
  • Remi asks who is observed, what decision will follow, and how someone can say no.
  • The design changes from storing raw traces to keeping short local counts with a clear sign and a review route.
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Major section

Start with a threat model

Include visitors, workers, neighbours, children, household members, and people behind walls or glass where the modality can reach.

  • A coarse count can become a routine when timestamps persist; a breathing cue can become health-related inference when linked to a person.
  • A room sketch should mark doors, walls, shared areas, and any path that reaches beyond the intended space.
  • CSI amplitude, radar phase, lidar points, and packet timing are measurements.

Why it matters

The field of view is part of the threat model because people can be observed without touching the device.

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Major section

Start with a threat model (continued)

The field of view is part of the threat model because people can be observed without touching the device.

  • Presence, identity, sleep, health, performance, and suspicion are interpretations with different harm and evidence.
  • The team should record which inference is prohibited as well as which one is needed.
  • This boundary helps reviewers spot a later request that quietly changes the purpose.
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Major section

Read the minimised data flow

That path helps later reuse but makes it easier to link data to a person and raises the harm from a breach.

  • The green lower lane keeps only the feature needed for a stated decision, deletes the raw window, and sends a short-lived count with uncertainty.
Privacy design for wireless sensing from raw measurement to a minimised local decision and accountable use.
Privacy design for wireless sensing from raw measurement to a minimised local decision and accountable use.
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Major section

Minimise at the point of sensing

Process on the device where practical, separate operational output from diagnostic logs, and make high-detail debugging an explicit temporary mode.

  • A retention test should prove that raw windows are actually deleted after the short processing interval.
  • The test should include local caches, diagnostics, exports, backups, and service logs.
  • If a doorway counter can manage room capacity, do not infer identity or health.
  • The saved result should include uncertainty and the reason for any abstention.
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Deck summary

Key takeaways

Radio Remi is asked to count people in a shared study room.

  • Include visitors, workers, neighbours, children, household members, and people behind walls or glass where the modality can reach.
  • The field of view is part of the threat model because people can be observed without touching the device.
  • That path helps later reuse but makes it easier to link data to a person and raises the harm from a breach.
  • Process on the device where practical, separate operational output from diagnostic logs, and make high-detail debugging an explicit temporary mode.
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Retrieval practice

Recall check 1 of 3

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

Q1Why can a radar presence record be personal data even without a name or image?

ABecause radio readings remain anonymous when devices follow repeated daily routines.
BBecause time, place, device and routine can link a radar record to someone.
CBecause encryption supposedly removes every purpose and privacy duty.
DBecause only photographs supposedly carry personal information.
Show answer

Answer: B Context and repeated observations can make a person identifiable and support consequential inferences.

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Retrieval practice

Recall check 2 of 3

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

Q2Which change best demonstrates data minimisation for a room-capacity sensor?

AKeep raw phase indefinitely in case future analysis wants it.
BAdd identity recognition so the dashboard can name occupants.
CHide the sensor while retaining every underlying raw window.
DDelete raw windows locally and keep short-lived uncertain counts.
Show answer

Answer: D Local feature extraction, prompt raw deletion, short retention, and visible uncertainty reduce data to what the purpose needs.

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Retrieval practice

Recall check 3 of 3

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

Q3A room sensor stores raw motion traces and reports occupancy. What must its design review establish before use?

APurpose, lawful basis, notice, bounded retention, access and less intrusive option
BA photograph check alone because the image captures the privacy impact of the stored motion record.
CLab model utility alone without purpose, lawful basis or retention limits
DUnrestricted owner access to all traces forever without purpose limit
Show answer

Answer: A A privacy review connects the sensing purpose to lawful use, minimisation, notice, retention, access, and alternatives.

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Print reference

Answers

Answer key.

  1. B · Context and repeated observations can make a person identifiable and support consequential inferences.
  2. D · Local feature extraction, prompt raw deletion, short retention, and visible uncertainty reduce data to what the purpose needs.
  3. A · A privacy review connects the sensing purpose to lawful use, minimisation, notice, retention, access, and alternatives.
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