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FOCI
Most Powerful Productivity Tech

What is FOCI?

FOCI is a wearable device paired with a mobile application designed to enhance user productivity and focus through advanced tracking technology. It utilizes machine learning algorithms to analyze subtle breathing patterns captured by a small sensor worn comfortably at the waist. This analysis provides real-time insights into the user's cognitive and emotional states, identifying periods of focus, calm, distraction, stress, and fatigue during work or study sessions.

The system aims to help users understand and improve their work habits by offering detailed productivity metrics and emotion records presented in comprehensive reports. FOCI features customizable vibration alerts that gently notify the user when distractions are detected, prompting them to regain focus. Furthermore, it incorporates guided biofeedback training exercises, enabling users to actively develop essential focus skills, manage distractions more effectively, combat procrastination, cope with fatigue, and ultimately work towards achieving a state of peak mental flow.

Features

  • Machine Learning Physiology Tracking: Learns user's physiological characteristics from breathing waveforms.
  • Productivity Insight Tracking: Monitors focus, calm, distraction, stress, and fatigue levels.
  • Emotion Records: Provides detailed records of emotional states during work sessions.
  • Productivity Reports: Generates stats on working patterns and focus levels.
  • Customizable Distraction Alerts: Offers five types of vibration alerts for focus loss.
  • Biofeedback Training: Uses real-time feedback to help users control cognitive states.
  • Focus Skill Training Levels: Provides structured training across four levels to enhance focus capabilities.

Use Cases

  • Improving concentration during study or work.
  • Understanding and managing work-related stress and fatigue.
  • Reducing procrastination habits.
  • Tracking productivity patterns for workflow optimization.
  • Training focus skills for enhanced cognitive performance.
  • Quantifying work effectiveness beyond time tracking.
  • Gaining self-awareness of emotional states while working.

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