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DeepAffex

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About

DeepAffex, developed by NuraLogix, is a cloud-based platform that uses Transdermal Optical Imaging to assess human physiological health through facial blood-flow data captured by a selfie camera. It offers developers various SDKs for integrating affective AI into mobile, web, and desktop applications. The platform is compliant with global data regulations and offers a comprehensive set of developer resources. The DeepAffex AI aims to enhance wellness awareness without diagnosing or treating any medical condition, primarily for investigational use only.

Platform
Web
Keywords
wellnesssdkaffective aihealth measurementtransdermal optical imaging
Task
vital measurement
Features

measure vital signs using a selfie camera

cloud-based health assessment platform

compliant with global data regulations

available sdks for mobile, web, and desktop integration

affective ai technology

FAQs
What is DeepAffex?

DeepAffex is a platform for assessing physiological health using facial blood-flow data.

What is Anura Lite?

Anura Lite is a wellness app that records health indicators measured through the selfie camera.

What is Transdermal Optical Imaging?

Transdermal Optical Imaging is a technology that uses a digital camera to extract facial blood-flow data.

How does Transdermal Optical Imaging work?

It works by analyzing light reflection from the skin to detect blood flow changes during a heartbeat.

What is Affective AI?

Affective AI detects, measures, and analyzes physiological states that affect quality of life.

How can I integrate DeepAffex into my app?

You can integrate it using our SDKs and services for various platforms.

Where can I see the list of available biosignals that DeepAffex can provide?

A listing of available biosignals can be reviewed in the Points Reference.

Can you restrict data storage on DeepAffex to a region or a country?

Yes, regional requirements for data storage can be satisfied.

Why does TOI need a face-tracker? Do you perform facial recognition?

The face-tracker helps identify areas on the face for blood-flow analysis, but no facial recognition is performed.

What kind of user information is needed during measurements and why? Can I measure without providing this information?

Additional user information enhances accuracy but is not mandatory.

What parts of a person's face should be visible during a measurement? Is it possible to measure with make-up, eyeglasses, caps, turbans, hijab, facial hair etc.?

Facial landmarks should be visible, and obstructions may negatively affect measurements.

My measurement had four stars but it still failed. What could cause this?

Star Rating estimates optical quality; high optical quality may still yield low signal quality.

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