Cervical dystonia, a neurological disorder characterized by involuntary muscle contractions in the neck, presents significant challenges in symptom monitoring due to its fluctuating nature. Current clinical assessments are limited by time constraints and infrequent patient visits. This paper presents the feasibility study of a novel approach to continuous symptom monitoring using a pervasive monitoring system equipped with 9DOF sensors. The system aims to capture the kinematic properties of head movement in patients with cervical dystonia, providing detailed data outside the clinical setting. We outline the development of this system, including the integration of sensors with a mobile application for real-time data logging. Our methodology involves a set of predefined movement protocols, established by practitioners, to standardize data collection. The system’s performance is evaluated using both the sensor data and a reference system, OptiTrack, to ensure accuracy and reliability. Preliminary results confirm the viability of the proposed approach for tracking cervical-dystonia specific head movements.