ENHANCING ELDERLY TASK PERFORMANCE: INTEGRATING AI WITH WEARABLE SENSORS FOR OPTIMAL FUNCTIONALITY – A COMPREHENSIVE REVIEW

Main Article Content

Tehreem Mukhtar
Saleh Shah
Amna Ali
Aayeshah Firdous
Asima Irshad
Alishba Sohail
Sara Hussain Gardezi
Kirran Sikandar Gondal

Keywords

Elderly, Artificial Intelligence, Wearable Electronic Devices, Task Performance, Health Information Integration

Abstract

This narrative review identifies the synergistic integration of Artificial Intelligence (AI) and Wearable Sensor Technologies to augment task performance in older adults. As globally population ages increases there is a communal demand for inventive methods to account the exceptional challenges that elderly individuals face. The review starts by investigating current developments in AI, displaying its applications in cognitive support and fall prevention. At the same time, it dives into the part of Wearable Sensor Advances, such as accelerometers and heart rate screens, in giving real-time wellbeing bits of knowledge. The narrative emphasizes the advantageous relationship between AI and wearable sensors, outlining how personalized data-driven methodologies contribute to progressed portability and in general well-being. Ethical considerations, including privacy concerns and consent, are analytically observed. It concludes by looking toward the future and examining cutting-edge biofeedback sensors and AI emotion recognition as a window into how senior care is changing. This review imagines a future in which elder care is seamlessly integrated into day-to-day activities, fostering aging individuals' autonomy, well-being, and sustained vitality through the synthesis of innovative technologies. By offering a comprehensive approach to optimizing task performance and promoting healthy aging in the elderly population, this thorough review seeks to shed light on the transformative potential of AI and wearable sensor integration.

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