A smartphone-based wander management system for Bangla speaking patients with Alzheimer’s disease

Wandering (disorientation) is considered the most hazardous behavior of Alzheimer’s patients (AD patient). This paper presents a smartphone based solution for real-time-outdoor wander detection and management for AD patients. The existing techniques mostly used location tracking system for wander detection whereas the proposed technique uses a unique voice-based feature for this purpose. The proposed system continuously monitors the conversation of AD patient with any other person and analyzes it. Whenever the system finds any predefined keyword in the conversation, it decides about wander occurrence. After detecting the wandering state, the proposed system creates an alert message with the location information of the user (AD patient) and sends to the caregiver. This application is developed for the Bengali-speaking population of the world and uses Bangla as the system language. However, it can be modified for any other language of the world. This application also offers a feature of real-time location tracking. Whenever necessary, caregiver can check the current position of the patient. The wander-detection accuracy of the proposed system has been evaluated. High sensitivity (92.86%) supports that the proposed system will be a helpful tool for AD patients to lead a secured life. © 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.