Table 2 Comparative analysis with the recent studies conducted.

From: A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care

Study

Sensor accuracy

Response time

Key functionalities

User satisfaction/usability

Proposed smart baby cradle system

Temperature & Humidity: ~ 99.6%

Cry Detection: ~ 93.2%

Weight: ~ 96.8%

Motion: ~ 98.1%

15–250 ms (varies by sensor)

Automated temperature/humidity control, rocking mechanism, lullaby player, remote camera, sleep analysis

95% ease-of-use; 87% positive overall impact

Study by Alam et al.6

High accuracy with integrated sensors (exact values not specified)

Comparable low latency for real-time response

IoT-enabled sound sensors for cry detection, focus on emergency alerts and environmental monitoring

High user trust; interface usability noted as good

Study by Srivastava et al.31

Emphasis on physiological sensors with > 95% accuracy

Response times under 50 ms for critical alerts

Non-invasive vital sign monitoring, advanced cry analysis, and predictive analytics

Reported improved parental reassurance, though interface complexity was a challenge

Study by Khanna and Kumar32

Similar high accuracy across multiple sensor modalities

Rapid sensor response (< 20 ms in some cases)

Real-time infant monitoring with integrated air quality and movement detection

High user satisfaction due to intuitive design; however, limited automation was reported