Human fatigue manifests in slower reactions, reduced ability to process information, memory lapses, absent-mindedness, decreased awareness, lack of attention, underestimation of risk, reduced coordination etc. Chronic, decompensated and acute fatigue in form of drowsiness and falling asleep can lead to errors and accidents, ill-health and injury, and reduced productivity of sectors as in equipment operations, transportation. Their detection is necessary where they provide an option for the quantification and objective evaluation of subjective fatigue levels. Many studies are dealing with this topic for automotive and workability usage to design a fatigue detection and countermeasure device. The paper describes research of recent attitude to the development of the fatigue condition detection methods with the usage of human biological signal combinations, like electroencephalography (EEG), photoplethysmography (PPG), electromyography (EMG), galvanic skin response (GSR), temperature, position, respiration and percentage of eye closure (PERCLOS) to obtain diagnostic parameters reflecting the state of central nervous, cardiovascular, respiratory and muscular system and for monitoring of physiological vital changes. The current research focuses on aspects of non-obtrusive sensor signal quality and placement, and selection factors and evaluation of usability and potential integration into a wearable platform with the use of current sensor technologies that extend the application of sensors from laboratory to everyday environment. The sensor review aims to support development of a platform with multilevel fatigue monitoring and workability evaluation system designed in order to provide an integrated service in the area of operational safety.