Mobile
Mobile PhysioEye
Mobile PhysioEye is the flagship clinical assessment station for nursing homes, rehabilitation centers, hospitals, and physiotherapy clinics. It combines a large patient-facing display, an operator interface, RGB-D depth sensing, and edge-AI processing in one mobile system. Clinicians can perform markerless assessments of posture, gait, balance, functional mobility, fall risk, and joint range of motion without wearable sensors or complex laboratory equipment. Its wheeled design allows the system to move easily between treatment rooms, wards, and resident areas while supporting standardized assessments, clear visual guidance, and longitudinal comparison of patient results.
AI-Powered Clinical Mobility Assessment
Mobile PhysioEye is the premium clinical version of the PhysioEye ecosystem. Designed for healthcare professionals, it combines AI-powered computer vision, LiDAR depth sensing, and real-time biomechanical analysis in a fully integrated mobile workstation.
The system enables clinicians to perform comprehensive markerless assessments of posture, gait, balance, range of motion, and functional mobility without wearable sensors or reflective markers.
Its wheeled medical-grade design allows effortless movement between treatment rooms, hospital wards, and patient bedsides while requiring virtually no setup before each assessment.
Perfect For
Rehabilitation Clinics
Physiotherapy Centers
Occupational Therapy Clinics
Nursing Homes
Hospitals
Geriatric Centers
Key Features
AI-powered markerless assessment
Real-time 3D skeletal tracking
LiDAR depth sensing
Automatic patient identification (PhysioID)
Motorized camera height adjustment
Clinical Decision Support
Longitudinal patient monitoring
Real-time feedback
Edge AI processing
No cloud required
Clinical Assessments
Integrated assessment tools for precise physical evaluation.
Postural Analysis
Gait Analysis
Fall Risk Assessment
Balance Assessment
Stability Assessment
Functional Reach
Joint ROM
Ergonomic Assessment
Neurological Screening
Musculoskeletal Screening
Workflow
Patient Identification
1
Face (face recognition)
Protocol Selection
2
[Choose specific test protocol]
Movement Assessment
3
[Capture physical activity]
Real-Time AI Analysis
4
[Instantly process data]
Clinical Report
5
[Generate results summary]
Historical Comparison
6
[Track progress over time]
|
Specification |
Detail |
|---|---|
|
Dimensions (cm) |
50 X 50 X 110 to 180 |
|
Weight (kg) |
45 |
|
Display |
32 inch (IK08) |
|
Input Power |
110/220 V |
|
Power (W) |
300 |
|
AI Accelerator |
Dedicated Neural Engine |
|
Hygiene |
Antimicrobial Coating, IP65 |
Part of the PhysioEye Ecosystem
Integrates seamlessly with ErgoBot
Use assessment data from PhysioEye to automatically configure therapeutic interventions in ErgoBot.