Bakhtiyari, Kaveh; Beckmann, Nils; Ziegler, Jürgen:
Contactless heart rate variability measurement by IR and 3D depth sensors with respiratory sinus arrhythmia
The 8th International Conference on Ambient Systems, Networks and Technologies, Madeira, Portugal May 16-19, 2017
In: Procedia Computer Science, Vol. 109 (2017), pp. 498 - 505
2017article/chapter in journalOA Gold
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Interactive Systems
Title in English:
Contactless heart rate variability measurement by IR and 3D depth sensors with respiratory sinus arrhythmia
Conference
The 8th International Conference on Ambient Systems, Networks and Technologies, Madeira, Portugal May 16-19, 2017
Author:
Bakhtiyari, Kaveh; Beckmann, NilsLSF; Ziegler, JürgenLSF
Year of publication:
2017
Open Access?:
OA Gold
Note::
OA gold
Language of text:
English

Abstract:

Heart rate variability (HRV) is known to be correlated with emotional arousal, cognitive depletion, and health status. Despite the accurate HRV detection by various body-attached sensors, a contactless method is desirable for the HCI purposes. In this research, we propose a non-invasive contactless HRV measurement by Microsoft Kinect 2 sensor with Respiratory Sinus Arrhythmia (RSA) correction. The Infrared and RGB cameras are used to measure the heart rate signal, and its 3D Depth sensor is employed to capture the human respiratory signal to correct the initially calculated HRV with RSA. The correlation analysis among the calculated HRVs by different methods and devices showed a significant improvement in reliable HRV measurements. This study enlightens the researchers and developers to choose a proper method for HRV calculations based on their required accuracy and application.