Smart Glasses for Gait Analysis in Parkinson's Disease: A preliminary study

Parkinsons disease (PD) is one of the most common neurodegenerative disorders of the central nervous system, which predominantly affects patients motor functions, movement, and stability. Monitoring movement in patients with PD is crucial for inferring motor state fluctuations throughout daily life activities, which aids in disease progression analysis and assessing how patients respond to medications over time. In recent years, there has been an increase in the usage of wearable sensors for PD symptom monitoring. In this study, we present a preliminary analysis of smart glasses equipped with IMU sensors to provide objective information on the motor state in patients with PD. Data were collected from seven Parkinsons patients with varying levels of symptom severity. The patients performed the Timed-Up-and-Go (TUG) Test while wearing IMU-equipped glasses. Our analysis indicates that smart glasses can provide information about patients gait that can be used to assess the severity level of the PD as measured by two standardized questionnaires. Furthermore, patient-specific clusters can be easily detected in the sensor data, hinting at the development of personalized models for patient-specific monitoring of symptom progression. Therefore, smart glasses have the potential to be used as an unobtrusive and continuous screening tool for PD patients gait, enhancing medical assessment and treatment. CCS CONCEPTS * Applied computing * Life and medical sciences * Health informatics ACM Reference FormatFirst Authors Name, Initials, and Last Name, Second Authors Name, Initials, and Last Name, and Third Authors Name, Initials, and Last Name. 2022. The Title of the Paper: ACM Conference Proceedings Manuscript Submission Template: This is the subtitle of the paper, this document both explains and embodies the submission format for authors using Word. In Woodstock 18: ACM Symposium on Neural Gaze Detection, June 03-05, 2018, Woodstock, NY. ACM, New York, NY, USA, 10 pages. NOTE: This block will be automatically generated when manuscripts are processed after acceptance.