Fatigue
Solution: Fatigue
Fatigue, refers to an overwhelming sense of tiredness, lack of energy and a feeling of exhaustion, associated with impaired physical and/or cognitive functioning. Fatigue is recognized as an important factor in today’s world where people experience a weakness, weariness, eye strain, pain in back, neck and shoulders (Bullough, Akashi, Fay, Figueiro, 2006; Blehm, Vishnu, Khattak, Mitra, Yee, 2005; Ukai, 2008). Fatigue can narrow focus and attention leading to a lack of proper performance resulting in human error related to information processing and decision making (Rajabi-Vardanjani, et al., 2013).
Eye Tracking: Eye tracking is a sensitive, quantifiable, accurate real-time measure of fatigue via eye responses such as changes in the fixation disparity (Glimne, Öqvist Seimyr, Ygge, Nylén, Brautaset, 2013), blinking (Divjak, Bischof, 2009), vergence (Sirohey, Rosenfeld, Duric, 2002; Pickwell, Jenkins, Yekta, 1987; Ukwade, Bedell, Harwerth, 2003) and other eye movements (e.g. Hu & Lodewijks, 2021).
HarmonEyes uses the eye tracking signal, machine learning and AI to answer the following questions related to fatigue:
- What is your current level of fatigue?
- Low Fatigue: low level of tiredness, low level of physical or cognitive dysfunction, no eye strain. Significant reserve and alertness available if needed to perform tasks.
- Moderate Fatigue: moderate level of tiredness, reduced energy, may have a headache, focus is noticeably impaired, eyes experience tiredness, and some strain. Some performance effects, especially in long sequential processing tasks requiring rapid decision making could be slowed.
- High Fatigue: difficulty focusing, difficulty making decisions, exhaustion, low energy, eye strain. Impaired physical functioning. Performance is slow and severely impaired.
- When will fatigue level change? This assumes the same activity is engaged in without intervention.
- Predicted future fatigue level:
- Low
- Moderate
- High
- Time to reach future state:
- Minutes and seconds
- Milliseconds
- Likelihood window:
- Ceiling level: defined as the average root mean squared error plus one standard deviation.
- Floor level: defined as the average root mean squared error minus one standard deviation.
- Probability (%):
- current level of fatigue
- other levels of fatigue
- Predicted future fatigue level: