Zeum focused on developing a mobile application that leverages mattress-embedded sensors to analyze sleep efficiency. Key features include real-time data collection, visualization of sleep states, and a caregiver monitoring function. Designed to empower users and caregivers, the app offers actionable insights for improved rest and well-being.

Key Features

1. Real-Time Sensor Integration: The app connects seamlessly to mattress sensors, gathering real-time data to monitor sleep patterns accurately and continuously.

2. Advanced Sleep Analysis: Using collected data, algorithms provide an in-depth analysis of sleep efficiency, enabling users to understand and improve their sleeping habits.

3. Sleep State Visualization: A user-friendly interface offers real-time visualizations of sleep states, turning raw data into clear, actionable insights.

4. Caregiver Support: A dedicated caregiver monitoring feature lets others keep an eye on sleep patterns, providing valuable data for ensuring better care.

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Challenges

Developing an app for a low-power environment was challenging. Ensuring continuous sensor connection during long sleep durations without data loss required optimization. Additionally, refining the sleep analysis algorithms to handle real-world mattress data involved iterative testing and updates to maintain accuracy and reliability.

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Development Process

The project started with user needs analysis and strategy design. Core features like sensor integration and real-time visualization were implemented. The team optimized the algorithm for sleep analysis and conducted rigorous testing to ensure stability across varied conditions.

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Tech stacks

Visual style

Outcome

The app successfully combines innovative sensor technology with user-friendly design, providing real-time insights into sleep. Its features empower users to improve sleep habits while ensuring caregivers can monitor patterns effectively, delivering an impactful sleep management solution.