Sensor-Integrated Pill Case for Context-Aware Medication Reminders

The patent combines multiple functions (medication storage, sensor detection, GPS tracking, accelerometer monitoring, and reminder generation) into an integrated pill case system. The pill case merges the medication container with electronic components including sensors that detect pill removal, GPS receivers that track location, and accelerometers that detect eating motions, creating a unified device that adapts to user behavior without requiring separate systems.

The pill case is designed as a multi-functional device that serves as both a medication container and a smart monitoring system. It universally handles multiple tasks: storing medication, detecting when pills are removed via sensors, tracking user location via GPS, detecting eating activities via accelerometer, and generating context-aware reminders. This multi-functionality enables adaptability to various user scenarios without proportionally increasing complexity.

The system employs periodic sensing and reminder generation rather than continuous operation. The sensor detects pill removal events periodically, the GPS receiver updates location at intervals, and the accelerometer monitors for eating motions at periodic intervals. Reminders are generated periodically based on accumulated data from these periodic measurements, reducing energy consumption compared to continuous monitoring while maintaining contextual adaptability.

The system automatically processes sensor data and generates reminders without requiring continuous user input or manual configuration. The sensor self-detects pill removal, the system self-determines eating events from accelerometer patterns, and automatically generates context-appropriate reminders. This self-service operation reduces the energy burden of manual system management and optimization.

The system extracts only the essential information needed for medication adherence from the available data. It selectively processes sensor data to detect pill removal events, extracts location information to determine if the user is at home or away, and identifies eating events from accelerometer patterns. By extracting only the critical elements needed for generating effective reminders, the system maintains high reliability without being overwhelmed by processing all possible information.

The system acts as an intermediary between the user and their medication regimen, processing information and translating it into actionable reminders. It mediates between raw sensor data (pill removal detection, location coordinates, motion patterns) and the user by generating simplified, context-aware notifications. This intermediary function filters and processes information efficiently, maintaining reliability while managing information processing load.