Human State Recognition Research Articles

Human State Recognition Using Ultra Wideband Radar Based on CvT

Human State Recognition Using Ultra Wideband Radar Based on CvT

On the person and psychophysiological state identification using electroencephalogram parameters

The development of methods and technologies for the automatic determination of the psychophysiological state (PPS) of a person is an actual scientific and technical task. Early detection of the fact that the subject is in a sleepy state or in a state of intoxication at the workplace will help to avoid accidents, harm to life, health, and causing losses. In this work the EEG data of 30 subjects in normal, sleepy conditions and a state of mild intoxication were collected. As a result of the spectral and correlation analysis of the EEG data features were selected. An amount of information about the difference of the investigated states contained in the features was determined. A computational experiment on the recognition of human state according to EEG data based on the “naive” Bayes classifier was conducted. The following error level was achieved: 10.9% when recognizing the state of “norm” and “intoxication”; 0.2% when recognizing the status of “normal” and “falling asleep.”

Smart sensor: a platform for an interactive human physiological state recognition study

This paper describes a concept of making interactive human state recognition systems based on smart sensor design. The token measures on proper ADC signal processing had significantly lowered the interference level. A more reliable way of measuring human skin temperature was offered by using Maxim DS18B20 digital thermometers. They introduced a more sensible response to temperature changes compared to previously used analog LM35 thermometers. An adaptive HR measuring algorithm was introduced to suppress incorrect ECG signal readings caused by human muscular activities. User friendly interactive interface for touch sensitive GLCD screen was developed to present real time physiological data readings both in numerals and graphics. User was granted an ability to dynamically customize data processing methods according to his needs. Specific procedures were developed to simplify physiological state recording for further analysis. The introduced physiological data sampling and preprocessing platform was optimized to be compatible with “ATmega Oscilloscope” PC data collecting and visualizing software.

From human skin to Nano-Skin: an experimental study on human skin temperature measurement

The human state in human–machine systems should be monitored to improve system performance. In monitoring it is preferable to use physiological cues such as skin temperature. The sensing capabilities of human skin were analyzed. The sensing system of human skin was modeled, and inspired the design of a Nano-Skin for physiological measurement in dynamic human–machine contact for human state recognition. The Nano-Skin involves a flexible bottom layer, sensors, special integrated circuit, interconnection between sensors and special integrated circuit, and flexible top layer. The requirements for the sensors of a Nano-Skin are summarized, and compared with common sensors, MEMS sensors, and nano sensors. A Nano-Skin with deposited platinum was manufactured. The manufacturing process is shown to be feasible and repeatable. The Nano-Skin with deposited platinum was used to measure skin temperature. Its performance was investigated using experiments. The results verified that the accuracy of the Nano-Skin sensors will not be lower than Pt1000Ω. Smaller sensors in a Nano-Skin generally have better performance.