Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
arXiv:2607.06598v1 Announce Type: cross Abstract: Heart rate measurement is one of the key requirements for real-time health monitoring, in particular for health caring of elderly people. Traditional heart rate measurement relies on contact sensing mechanisms such as some heart rate measurement devices at medical hospitals or some wearable devices with embedded sensors such as Apple Watch, etc. In this paper, we develop a system for non-contact, real-time, heart rate measurement using image processing with commodity cameras such as an embedded camera on a laptop, where we use an innovative alg
Advances in AI, particularly in computer vision and agent-based systems, are enabling increasingly sophisticated real-time analysis of visual data from commodity hardware.
This technology offers a non-invasive, accessible method for continuous health monitoring, significantly expanding the reach of health tech beyond specialized medical devices and wearables.
Health monitoring can now move from specialized contact-based devices to ubiquitous cameras, making real-time vital sign tracking more pervasive and less intrusive.
- · AI software developers
- · Elderly care providers
- · Consumer electronics manufacturers
- · Telehealth platforms
- · Traditional contact-based heart rate monitor manufacturers
- · Wearable device-centric health platforms
Widespread adoption in elderly care and remote patient monitoring, reducing the need for physical contact.
Integration into smart home systems and personal devices, generating vast new datasets for predictive health analytics.
Ethical and privacy concerns around continuous, non-consensual physiological monitoring become more prominent and require new regulatory frameworks.
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Read at arXiv cs.AI