Technical specifications are based on manufacturer information and may differ depending on the configuration in the laboratory.
Motion analysis and muscle activity
BTS SMART-DX 100 optoelectronic system
Motion analysis system that tracks the three-dimensional position of passive reflective markers with infrared cameras. Passive reflective markers of various diameters are used, chosen for the region under study.
- Cameras: 4 infrared cameras
- Sampling rate: 100 Hz
BTS VIXTA video cameras
Cameras integrated with the motion analysis system that record RGB video synchronously with the marker data.
- Number of cameras: 2
- Sampling rate: 25 Hz
BTS FREEEMG 1000 surface EMG
Wireless surface electromyography system integrated with the motion analysis system that records muscle activity synchronously with kinematics.
- Sampling: EMG probes 1 kHz
- Number of probes: 5
Depth sensors and markerless motion analysis
Microsoft Azure Kinect
Sensor with a time-of-flight (ToF) depth camera and an RGB camera.
Microsoft Kinect v2
ToF depth sensor; used in markerless facial and body motion analysis.
Orbbec depth sensors
Depth sensors for markerless facial and body motion analysis.
- Model: Femto Mega, Gemini 335L, Astra 2
Leap Motion
Sensor that tracks hand and finger movements in three dimensions with infrared cameras.
- Sampling rate: 100 Hz
iPi Motion Capture (iPi Soft)
Software that captures markerless whole-body movement with depth sensors or cameras. In the laboratory it is used for markerless gait analysis with two Azure Kinect sensors; joint angles are exported with the iPi Biomech add-on.
- Output: BVH, FBX
3D surface scanning and digitisation
Artec Eva handheld 3D scanner
Handheld scanner that creates a textured 3D model of the surface using structured-light technology.
- 3D point accuracy: up to 0.1 mm
- 3D resolution: up to 0.2 mm
RecFusion Pro
Scanning software that builds 3D models by combining data from several depth sensors.
- Output: STL, OBJ, PLY
3D Slicer
Open-source medical image processing software used for anatomical segmentation and 3D model creation from CT and MR images.
Force and mechanical testing
Dynamometer
Used to measure force and passive mechanical properties in living facial tissue.
- Model: IMADA ZTA-500N digital force gauge
- Capacity: 500 N
- Accuracy: ±0.2% of full scale
Lloyd LR5K Plus universal testing machine
Twin-column electromechanical testing machine that measures the mechanical behaviour of biological tissues and materials under tension, compression, bending and cyclic loading.
- Capacity: up to 5 kN
- Load cells: interchangeable (range 5 N – 5 kN)
- Force accuracy: better than 0.5%
- Test speed: 0.01 – 1016 mm/min
- Software: NEXYGEN Plus
Measurement system developed in the laboratory
Wearable flexible sensor prototype
Measurement system based on flexible (flex) sensors and a microcontroller, developed to track facial muscle movement. The sensors are attached to the skin with 3D-printed holders, and calibration is performed with 3D-printed cylinders.
- Channels: 4 sensors (bilateral brow and cheek)
- Sampling: 100 Hz
- Validation: synchronous recording with BTS SMART-DX 100 (TÜSEB 2025-A1-01)
Model production
Cubicon Single Plus 3DP-310F 3D printer
3D printer using fused deposition modelling (FDM).
- Build volume: 240 × 190 × 200 mm
- Layer thickness: down to 100 µm
- Materials: PLA, ABS, PETG, TPU
Silicone moulding and liquid plastic casting
Preparation of silicone moulds from scanned or 3D-printed master models and replication of models by liquid plastic casting.
Material preparation and general laboratory equipment
| Instrument | Specification |
|---|---|
Tezsan fume hood
|
Work with chemicals and moulding materials |
Hanna Instruments edge pH meter
|
pH range −2.00 to 16.00, accuracy ±0.01 pH |
Velp Scientifica ARE heating magnetic stirrer (F20500162)
|
Aluminium plate; heating up to 370 °C; stirring up to 1500 rpm; 15 L capacity |
Radwag PS 750.R2 precision balance
|
750 g capacity, 0.001 g readability |
Methodological capabilities
- Synchronous acquisition of motion analysis, surface EMG and video recordings
- Design and analysis of accuracy and reliability studies (ICC, Bland–Altman, test–retest, etc.)
- 3D surface comparison and asymmetry metrics (RMS and related metrics)
- Automated signal and motion analysis in Python
- Segmentation and 3D model preparation from CT/MR images
Son güncelleme : 2.11.2026 15:42:05