Mobile and wearable technologies have promised significant changes to the healthcare industry. Although cutting-edge communication and cloud-based technologies have allowed for these upgrades, their implementation and popularization in low-income countries have been challenging. We propose ODSearch, an On-device Search framework equipped with a natural language interface for mobile and wearable devices. To implement search, ODSearch employs compression and Bloom filter, it provides near real-time search query responses without network dependency. Our experiments were conducted on a mobile phone and smartwatch. We compared ODSearch with current state-of-the-art search mechanisms, and it outperformed them on average by 55 times in execution time, 26 times in energy usage, and 2.3% in memory utilization.

翻译：移动和可磨损技术已承诺对保健行业进行重大变革。尽管尖端通信和云基技术允许进行这些升级,但在低收入国家实施和推广这些技术一直具有挑战性。我们提议ODSearch,即配备移动和可磨损设备天然语言界面的Ondsearch系统;为了实施搜索,ODSearch使用压缩和闪光过滤器,它提供了不依赖网络的近实时搜索查询响应。我们是在移动电话和智能观察上进行的实验。我们把ODSearch与目前最新的搜索机制进行了比较,在使用时平均超过它们55次,能源使用26次,记忆利用2.3%。