Mobile Crowd Sensing with Secure Coin Rewarding in Human Activity Recognition for Elderly People System

Mobile Crowd Sensing (MCS) is a promising approach that harnesses the collective intelligence of mobile devices to gather data, particularly beneficial for monitoring the daily activities of elderly individuals. This paper proposes a system that integrates secure coin rewarding with MCS for Human Activity Recognition in elderly care. By addressing challenges such as data security, privacy attacks, and incentivizing healthy behaviors, the system aims to enhance the well-being of elderly individuals. Pairing-based cryptography is employed to ensure privacy preservation, while a reward system motivates active participation and data accuracy. The proposed system operates through a series of steps involving key generation, challenge authentication, receipt issuance, and reward claiming. Latency measurements demonstrate the efficiency of the system in issuing receipts and claiming rewards. Overall, this research contributes to the advancement of monitoring systems for elderly care by combining technology, community engagement, and personalized recommendations to promote healthy living among the elderly population.