The software provides a solution for stress detection based on two physiological signals (heart rate and skin conductance), especially geared for real-time environments, which requires knowing the individual's mood instantly.

It must be noted that the main difference is based on modeling the behavior of both physiological signals in different degrees of stress by employing fuzzy logic, which allows a maximum adaptation to each subject.

Moreover, its low computational cost and the ability to integrate the required sensors represent a low invasiveness, resulting in increased acceptance and usability.

Commercial sector applications are:

• Security: training special forces (police, fire, military) to improve its performance in stressful environments.
• Transport: drowsiness detector driving.
• Health: monitoring elderly (falls, accidents). 

 “The proposed method, based in fuzzy logic, achieves detection rates of 85% stress in a controlled environment laboratory“

 Security 

• Training special forces (police, fire, military) to act properly under stressful situations.
• Soldier monitoring to quantify resilience and maximize the effective action in combat.  

Transport 

• In Spain, 16% of road accidents are caused by falling asleep while driving.
• Monitoring the attention of a driver in a non invasive way is one of the main goals in research related to road safety.
• Also, excessive stress while driving leads to traffic accidents. 

Health 

• Falls and other common accidents are a major cause of death in elderly people.
• The social phenomenon called Silver Tsunami provides current governments' inability to deal with proactive monitoring of elders.

Security 

• Post-traumatic stress disorder treatment could cost USA Army up to $1.5 million over the lifetime of a soldier [Los Ángeles Times].

 Transport 

• Accidents caused by over-fatigued drivers in the U.S. represent a total of 12. 500 $ millions annually [Drowsy Driving].
• In 2011, 238 people died from falling asleep while driving in Spain [Dirección General de Tráfico]. 

Health 

• In 2020, direct and indirect costs related to falls and accidents of elderly will account almost 55 billion dollars a year [CVIDA].
• In 2020, there will be a total of 10.1 million disabled elderly, which will require a total of 2.5 million dedicated nursing [Elder Parent Help].

• Low invasiveness in acquiring physiological signals, resulting in higher integrability of sensors and user acceptability.
• Continuous monitoring by quantifying the stress level of the individual.
• High accuracy in the stress detection (85%).
• Customized and adaptative stress detection according to individual's mood over time.
• Stress detection method based on fuzzy logic with low computational cost and processing times in milliseconds.

“An accurate and instant stress detection could detect when a person falls asleep while driving (no stress), when an older person falls (nervousness) or if a soldier needs reinforcements for being unable to face combat missions (high stress) "