[2L4-OS-9b] OS-9

[2L4-OS-9b-03] Development of Phone Fraud Detection AI using Emotion Estimation of Elderly People

〇TAKESHI KONNO¹, Megumi Chikano¹, Takahiro Yoshioka¹, Kenta Ide¹, Masahiro Shiraishi¹, Masayuki Kiriu² (1. Fujitsu Limited, 2. Toyo University)

[2L1-OS-9a] Affective Computing 9:20～9:40にて発表

Keywords:affective, vitals, Phone fraud

The damage of the elderly continues to increase because of the introduction of sophisticated and new methods of phone fraud. In the conventional method, the fraud detection was carried out by keyword analysis of the voice of the perpetrator side (the impostor), but it is impractical to update the keyword every time the method changes because of heavy burden on the operation side. Therefore, we assume that the psychological state of the victim (the elderly) is common even if the modus operandi changes, and we aim to develop a phone fraud detection AI to judge the psychological state of the victim (the elderly) by estimating the anxious feeling from the vital information of the elderly.In this paper, the AI model which detects the psychological state of being "deceived" from the obtained vital information of respiration rate and pulse number was developed, assuming that the millimeter wave equipment is installed near the fixed telephone of the elderly house, since the phone fraud frequently calls the fixed telephone of the elderly house. And, the demonstration experiment was carried out in the elderly people of Amagasaki City, and it is also reported.