## 1 Introduction and Motivation  
Wireless Body Area Networks (WBANs) represent a class of wireless networks that facilitate data exchange between mobile devices located on or within the human body as part of the Narrowband Internet of Things (NB-IoT) group of devices. In recent years, WBANs have gained widespread adoption due to the diminutive sizes and weights of their constituent devices. WBANs typically comprise transceivers and sensors that communicate wirelessly. Presently, WBANs predominantly employ radio frequency (RF) communication technologies such as ZigBee, Bluetooth, and 6 LoWPAN. However, these RF transceivers suffer from drawbacks, including high power consumption and mutual interference [1, 2, 3], thereby limiting their applicability. Intrabody communication (IBC) technology has emerged to mitigate these issues and reduce power consumption [4, 5]. Intrabody communication leverages the human body as a conductive medium for wireless communication between WBAN devices. IBC systems find applications in diverse domains, such as healthcare, sports, military, and security. Researchers at the MIT Media Laboratory have introduced a wearable monitor for temperature measurement and hypothermia detection in soldiers [6]. Additionally, smart textiles equipped with acceleration sensors and leveraging IBC have been developed for applications in sports and medical rehabilitation [7, 8, 9, 10, 11]. IBC has also been explored for enhancing the reliability and security of access control systems [12; 13; 14; 15]. Furthermore, inter-segment communication enables the establishment of connections between IBC-enabled WBAN devices located on different individuals [16]. The development of Industry 4.0 also drives the emergence of new requirements for organizing interactions between different participants in the manufacturing process: autonomous robotic systems and collaborative robots (cobots), humans and the production system. Researchers note that evolving production tasks and the adoption of technologies such as the Internet of Things (IoT) and artificial intelligence (AI) are reshaping the role of humans in manufacturing. One prominent approach is the Operator 4.0 concept, first introduced in [17] as a \"human-centric\" vision for the successful adoption and implementation of Industry 4.0 technologies in smart factories. A recent analysis of the evolution of this approach in [18] demonstrated that the nature of work, the social and organizational work environment, and related individual factors are key categories influencing the psychosocial state of Operator 4.0. The task of identifying individual workers at a production site within a manufacturing facility enables the consideration of human-specific characteristics for fine-tuning equipment or specialized robotic systems (for instance, industrial exoskeleton) that collaborate with humans on production lines. Research has shown that IBC can address some of the prevalent challenges associated with traditional communication methods used in industrial settings, such as high energy consumption and susceptibility to interference. The energy efficiency of IBC aligns well with the goals of Industry 4.0, where the emphasis is on creating sustainable and low-energy solutions. For instance, IBC-enabled wearable devices can facilitate real-time health monitoring among factory workers, ensuring both safety and productivity while simultaneously reducing operational costs linked with energy consumption [5; 12]  
This necessity highlights the importance of exploring solutions such as Intrabody communication for biometric identification. Intrabody communication facilitates wireless connections within wireless body area networks (WBANs) through the human body acting as a transmission medium. However, the efficacy of IBC is significantly affected by the intricate geometric and biological variances among individuals, which contributes to substantial signal loss and variations in channel gain.