-

Heart-rate data is highly sensitive physiological data, raising risks of health inference, misuse, or over-profiling. Legally, it may fall under special category health data, requiring explicit consent, strong safeguards, and clear justification that processing is necessary and proportionate for safety purposes.

Health data → GDPR Article 9 → explicit consent required • Risk of misclassification → safety & liability • Data security concern

I'm about to feel drowsy but IRIS can use hat rage signals of drowsiness of the drivers

Heart-rate data is sensitive physiological information, so improper handling could expose personal health details. Ethical concerns include over-collection and unclear consent. Strong safeguards are needed to ensure the data is used only for fatigue detection.

Consent issues Data security

There is a lot of uncertainty and biases in that application. Many of the results cannot prove that there are psychological or physical

Using heart-rate signals for drowsiness detection shifts the risk profile from visual surveillance to intimate medical monitoring. While it avoids some visual privacy issues, it introduces much higher stakes regarding health data.

Access to peoples health data can be sold to third party companies

Heart-rate data introduces a different but equally serious set of concerns. Ethically, physiological signals can reveal sensitive information beyond fatigue, such as stress levels or potential health conditions. This creates a risk of function creep, where data collected for safety could later be repurposed for monitoring productivity, insurance risk, or employment decisions. Legally, heart-rate data is typically considered health-related data, placing it within GDPR’s special category data framework. Processing such data without a strong lawful basis, robust safeguards, and explicit transparency would violate GDPR. Even when used solely for fatigue detection, the sensitivity of the data demands stricter access controls, shorter retention periods, and clear limits on secondary use.

Privacy, bias and inaccuracy, false negatives

Data misuse and data protection law violation

It could be inaccurate

Health data sensitivity, Consent & purpose limitation, Accuracy & safety, Data security

Privacy, data security, potential for discrimination, and legal liability in accident cases.

Privacy, Processing of Sensitive Data, Biases

Heart rate signals can be considered for emotional state, which is illegal to collect.