Over the past decade, the term "smart cities" has been worldwide priority for city planning by governments. Planning smart cities implies identifying key drivers for transforming into more convenient, comfortable, and safer life. This requires equipping the cities with appropriate smart technologies and infrastructure. Smart infrastructure is a key component in planning smart cities: smart places, transportation, health and education systems. Smart oices present the concept of workplaces that respond to user's needs and allow less commitment to routine tasks. Smart oices solutions enable employees to change status of the surrounding environment upon the change of user's preferences using the changes in the user's biometrics measures. Meanwhile, smart oice access and control through brain signals is quite recent concept. Hence, smart oices provide access and services availability at each moment using smart personal identiication (PI) interfaces that responds only to the personal thoughts/preferences issued by the oice employee not any other person. Hence, authentication and control systems could beneit from the biometrics. Yet these systems are facing eiciency and accessibility challenges in terms of unimodality. This chapter addresses those problems and proposes a prototype for multimodal biometric person identiication control system for smart oice access and control as a solution.