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Atlas Launches Brain-Monitoring Wearable to Track User Presence and Focus

🔄 Updated 1h ago
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Key points

  • Atlas 1.0 is a wearable EEG that attaches behind the ear.
  • It monitors brain waves, electrodermal activity, movement, and voice patterns.
  • The device quantifies cognitive and attentional resources.
  • Pre-orders are available for $500, plus a $30 monthly subscription.

Introducing Atlas 1.0

Atlas has introduced its first product, Atlas 1.0, a wearable EEG device. This device is designed to help users monitor and understand their level of presence and focus in real-time. It aims to address issues related to distraction and mental well-being by providing insights into cognitive states.

How Atlas 1.0 Works

Atlas 1.0 adheres to the skin behind the ear and records several physiological signals, including brain waves, electrodermal activity, movement, and voice patterns. An algorithm processes this data to quantify where a user's cognitive and attentional resources are directed. The device does not record speech, but rather speaking activity and patterns.

App Integration and User Benefits

The accompanying iOS-only app allows users to view their presence levels, performance under pressure, and stress recovery. Users can log their daily activities to correlate specific situations with their cognitive states. The goal is to enable users to identify and engage more with activities that enhance their focus and well-being.

Availability and Pricing

Atlas is currently accepting pre-orders for Atlas 1.0. The device costs $500, with an additional $30 monthly subscription fee. This subscription covers the replenishment of sensors and adhesives required for the device's operation.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

Atlas has launched pre-orders for Atlas 1.0, a wearable EEG device designed to monitor brain waves, electrodermal activity, movement, and voice patterns to quantify a user's presence and focus. This device aims to help users identify situations that promote engagement and improve mental well-being by understanding their cognitive states.