While traditional biometric systems are well-established in the industry, they come with several drawbacks, such as being intrusive to privacy, requiring user attention, and lacking ubiquity. This paper introduces a new biometric system using a cyber-physical approach with Wi-Fi-integrated devices. This first develops a security zone using Wi-Fi-integrated devices and then scans a person entering the security zones using wireless signals. Acquired wireless signals are utilized to extract biometric multi-signature features. The proposed system employs a bio-electromagnetic human model and deep learning algorithms, including a two-layer CNN architecture, to identify the person. Preliminary results show that the proposed Wi-ID achieves up to 88% accuracy in detecting a person through biometric signatures.