How iBaby Uses IoT and Huawei LiteOS to Safeguard Infant Sleep
The iBaby infant sleep monitoring system combines real‑time temperature, heart‑rate, and posture sensing with Huawei LiteOS, LwM2M, and OceanConnect IoT to provide parents with instant alerts, detailed sleep analytics, and a browser‑based UI, addressing critical safety and sleep‑quality challenges for babies.
Case Overview
iBaby infant sleep monitoring system aims to solve safety and sleep‑quality issues for babies.
Requirements Analysis
Parents need continuous monitoring because infants spend most of their time sleeping; risks include missed fever, breathing difficulties from rolling, and lack of awareness of sleep disturbances. Statistics show that 20.87% of children aged 0‑5 in China have sleep problems, with up to 65.9% of Shanghai infants aged 0‑2 affected.
Solution Overview
1. Basic Functions
Real‑time temperature and heart‑rate monitoring with automatic alerts.
Sleep monitoring covering posture, rolling‑induced breathing difficulty, wake‑up events, and overall sleep‑wake status.
Cross‑terminal friendly UI that runs in a browser without installation or server.
System Architecture
Hardware nodes are built on the Xilinx ARC EMSK development board, porting and deeply integrating Huawei LiteOS into the embARC software development platform.
The intelligent wristband module integrates a thermometer, heart‑rate sensor, and accelerometer, employing the Webster sleep‑monitoring algorithm to detect sleep state, posture, and wake‑up events.
Multiple nodes interconnect: sensor nodes use LwM2M to connect to a home gateway, which runs AgentLite to interface with the Huawei OceanConnect IoT platform and a Freeboard UI for real‑time data visualization.
Solution Value
Detect baby’s sleep, helping parents adjust posture, lighting, and timing.
Monitor temperature and heart‑rate, automatically record and plot trends.
Provide abnormal alerts to prevent accidents.
Huawei Open Capabilities Used
The solution leverages Huawei LiteOS, OceanConnect IoT platform, LwM2M protocol, and AgentLite middleware to achieve end‑to‑end monitoring and cloud integration.
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