Noncontact Lie Detection System Involving Photoplethysmography and Heart Rate Variability
| Autor: | Hung-Chang Chang |
|---|---|
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. |
| ISSN: | 1793-6381 0218-0014 |
| DOI: | 10.1142/s0218001423500064 |
| Popis: | Heart rate variability (HRV) has been used to determine whether patients have latent illnesses and as an assessment indicator of the autonomic nervous system. Studies have also employed HRV for lie detection, which is commonly performed in the law system. However, several studies have concluded that due to environmental and procedure-related problems, lie detectors may yield inconsistent results. This study used smart recognition technology and proposed a systemized method of lie detection. To verify the reliability of the noncontact lie detection approach, empirical lie detection studies were conducted and the relevant literature was searched for item selection techniques. This study employed a noncontact HRV lie detection system. By experimenting on 15 participants split into four groups, this study verified the reliability of using the physiological characteristic of HRV for lie detection. |
| Databáze: | OpenAIRE |
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