Research & science

Research with FlexTail

MinkTec combines flexible sensor technology, robust data analysis, and applied health research to make three-dimensional spinal posture measurable in everyday settings. As a TU Braunschweig spin-off, we work with research and clinical partners to develop practical tools for biomechanics, ergonomics, and digital health.

Discuss a research project
Research visualization of flexible sensor technology
FlexLab Studio analysis interface

Analysis software

FlexLab Studio

FlexLab Studio gives researchers a purpose-built environment for evaluating FlexTail recordings. Analyze measurements with drag and drop in the interface or export raw CSV data for deeper, customized analysis workflows.

Go to demo

From sensor to insight

A platform for every stage of the workflow

Start with a visual review, run a repeatable analysis, automate data preparation, or integrate FlexTail into a product. Each path uses the same measurements and can stand alone or work together.

FlexLab Studio

Review recordings in a visual workspace, compare posture and movement sessions, and export the underlying data when a study needs a custom analysis path.

Go to demo

Python library and notebook

Build reproducible analysis around FlexTail recordings: load measurements and annotations, reconstruct sensor shape, calculate metrics, and bring the results into a data-science workflow.

Open the notebook

Flex CLI

Capture over Bluetooth Low Energy or USB serial, inspect sessions, calculate posture and movement statistics, and convert recordings to CSV, JSON, Arrow, Parquet, or RSF without writing an integration.

Explore the CLI demo

FlexTail SDK

Embed FlexTail into your own application. The transport-neutral SDK handles setup, packet parsing, and live evaluation while your software keeps control of Bluetooth, serial, permissions, and user experience.

Supported platforms

FlexLab Studio

Windows macOS Linux Android iOS Web

Python library and notebook

Windows macOS Linux

Flex CLI

Windows macOS Linux

FlexTail SDK

Windows macOS Linux Android iOS Web

Detailed evaluation report

See what a FlexTail evaluation can reveal

This document illustrates what FlexTail sensor data can be used for in the context of occupational and domestic ergonomics. Each chapter applies a different analytical framework to real recordings, demonstrating how continuous lumbar kinematics translate into actionable ergonomic insight.

Figure preview 01

Activity profiles, posture distributions, and bend analyses from real FlexTail recordings.

Read the detailed evaluation report

Applied evidence

Case studies and research projects

Diagram from the human-robot collaboration research study

Human-robot collaboration in digital fabrication

At TU Braunschweig, FlexTail delivered continuous data on spinal curvature, bending, and rotation during a study of robot-assisted 3D concrete printing. The study showed a 60% reduction in awkward back postures, 44% less manually handled weight, and nearly threefold productivity compared with traditional casting.

FlexTail sensor bent into a spiral validation shape

Spinal posture tracking validation

A peer-reviewed validation study by Masch et al. evaluated FlexTail against high-precision 3D-printed flexion, spine-shaped, and torsion models.

PostureCare project kickoff

PostureCare: ergonomics training for nursing

PostureCare develops an interactive mixed-reality training system for care practice that recognizes potentially harmful postures and provides feedback during simulated tasks. MinkTec contributes sensor-based posture measurement in collaboration with the University of Oldenburg and OFFIS, within the wider ZDIN Zukunftslabor Gesundheit context.

Wearable sensor system used to assess posture and physical demands in care work

ErgoFee: reducing physical demands in care work

ErgoFee is developing a wearable, app-supported system to analyse physical demands in nursing and provide direct ergonomic feedback. MinkTec coordinates the project with DFKI and BeSu.Solutions; the team is testing how the system can fit everyday care settings.

FlexTail activity recognition research participant

Automatic recognition of daily activities

Studies at the Peter L. Reichertz Institute for Medical Informatics used FlexTail to classify 22 activities of daily living with up to 98% accuracy. Compared with video-based pose estimation, the wearable sensor delivered more precise data for seated activities and transition movements without dependence on camera angles or line of sight.

Clinical scoliosis research image

Mobility measurement after scoliosis surgery

A biomechanical pilot study at Asklepios Paulinen Clinic Wiesbaden measured three-dimensional spinal mobility in adolescents with idiopathic scoliosis before and after corrective spinal fusion. FlexTail provided reproducible, real-time measurements for objective perioperative follow-up.

Peer-reviewed work

Scientific publications

Data Science

Relating Posture and Back pain

Using posture and movement data of everyday life over several weeks, we have recently found quantifiable hints correlating certain posture patterns with unspecific back pain.

FlexTail

For 3D-shape sensing

Our FlexTail is a foil-based, flexible sensor strip that allows directional measurement of bending. Combining multiple cleverly arranged strain sensors with a proprietary evaluation algorithm, the FlexTail enables a real reconstruction of the strip shape. The sensor is fabricated in a way that allows a very cost-effective mass production.

Live Visualization

Interactive Data Exploration

Explore our interactive visualization tools that allow you to analyze sensor data in real-time. This box plot visualization helps you understand the distribution and patterns in your measurement data.

Explore

Working with the Data

Apart from FlexLib Studio our cross platform application to record and view data we provide a python library to access and analyze the data collected by our sensors. Checkout the notebook below to see what we can do.

View Notebook
Dishwasher Demo Preview