Remote analysis of someone’s health state for potential manipulation has gotten easier. Measuring body language, eye movement, and even pulse is possible – all you need is a video camera and some specialized algorithms. You don’t even need to hijack their phone or their security camera at work. You can simply pretend to be taking a selfie when actually recording a video.
The presentation will demonstrate the efficacy of signal processing and machine learning using video and remote photo plethysmography heart rate detection and the transformation to heart rate variability (HRV) to discuss how easy it will be to hack humans.
Photo plethysmography (PPG) is a non-invasive, low-cost, simple optical technique that detects blood volume changes in the microvascular bed of tissue. After the recording is complete, the PPG information is transformed into heart rate variability (HRV) using multiple denoising mechanisms.
HRV has been shown to correlate to: risk of sudden death from CVA, cognitive function, insulin sensitivity, inflammatory markers, visceral fat, aerobic fitness levels, fatigue markers and overtraining, performance and others.
The analysis can reveal a plethora of vital information, including cortisol levels (the catabolic stress hormone), cognitive function, insulin sensitivity, aerobic fitness, and indices of fatigue or overtraining such as inflammatory markers. This, in turn, provides indicators about insulin levels.
By recognizing and leveraging these factors, attacks can occur without any direct physical contact. The possibilities are both obvious and ominous.
Someone with high cortisol levels, heart rate, and blood pressure could be submitted to high levels of unattributable stressors. Fatigue, cognitive deficits, and poor fitness levels render openings to hackers in other ways. Direct physical intervention is possible if someone is fatigued, and thus easily distracted. A simple drink containing concentrated sugar can put an insulin-sensitive person into a coma.
The possibility that you could get “cyber-whacked” is probably already here; all the tools are in place, we just may not know when it happens. After all, if a guy with a heart condition, high blood pressure, inflammatory markers, and a high-stress job just happens to keel over…
The AI behind HRV — the critical role of signal processing in modern data science applications. Backed by centuries of proven mathematical applications, when signal processing is applied to data preparation, it accelerates delivery of the right answers to critical questions. Signal processing eliminates noise and prepares data for machine learning and artificial intelligence, significantly reducing false positives and delivering actionable results.
Founder, CEO and CTO.
David is a serial entrepreneur, with his most previous company – Hexatier/GreenSQL – acquired by Huawei. He was a founder of Precos, Vanadium-soft, GreenCloud, Teridion, Terrasic, and Re-Sec, among others.
Previously a director in Fortinet’s CTO office, he managed information security at Bezeq, the Israeli Telecom.
He has 24 years’ experience in leadership, AI, Cyber security, development and networking and is a veteran of an elite IDF unit.
Named one of the Top-40 Israeli Internet Startup Professionals by TheMarker Magazine and Top 40 under 40 most promising Israeli business professionals by Globes Magazine.
David holds a master’s in computer science from Open University.
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