• AI-powered gait analysis provides accurate movement assessment and fall risk evaluation.
• High-precision IMU sensors capture human motion data for detailed gait monitoring.
• Provides visualized insights into walking patterns and physical mobility changes.
• Supports fall risk prediction and real-time safety alerts for elderly users.
• AI algorithms analyze movement trends to support proactive healthcare management.
• Compact 9g wearable design enables comfortable long-term monitoring.
• Supports Bluetooth BLE 5.2 connectivity for stable data transmission.
• IP67 waterproof design provides reliable protection for daily healthcare applications.
• Suitable for hospitals, rehabilitation centers, nursing facilities, and community screening.
• Long battery life of 7-10 days supports continuous health monitoring.
| Product Model | JSL-AISO1-SR |
| Product Name | AI Gait Analyzer |
| Application | Gait Analysis, Fall Prevention, Rehabilitation Assessment |
| Sensor Technology | High-Precision IMU Motion Sensor |
| AI Technology | AI Motion Analysis Algorithm |
| Screen | 2.8-inch TFT LCD |
| SoC Chip | Arm Cortex-M33 128MHz |
| Memory | 256KB + 1.5MB |
| Battery Capacity | 110mAh |
| Battery Life | 7-10 Days |
| Weight | 9g |
| Product Dimension | 30mm × 30mm × 10.8mm |
| Connectivity | Bluetooth BLE 5.2 |
| Charging Method | Magnetic Charging Dock / Type-C Interface |
| IP Grade | IP67 |
| Working Temperature | 0℃ to +50℃ |
| Working Humidity | 20%-95% RH (Non-condensing) |
| Storage Temperature | -40℃ to +85℃ |