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Updated: May 10, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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All-Printed MXene-Based Springs for Concurrent Bidirectional Hand Motion Capture.

Chendong Zhao1, Jimei Liu1, Bingxue Zhang1

  • 1College of Materials Science & Engineering, Sichuan University, Chengdu, Sichuan 610065, China.

ACS Nano
|May 8, 2026
PubMed
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This summary is machine-generated.

Researchers developed a novel flexible sensor for capturing hand movements. This new sensor uses a unique planar spring architecture to accurately detect complex skin strains, enabling precise motion tracking and control.

Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Robotics

Background:

  • Capturing intricate hand movements is difficult due to skin's complex deformations (stretching, compression, bending).
  • Existing flexible sensors often struggle with simultaneous complex deformations, leading to signal distortion.
  • High sensitivity and wide strain range typically result in thicker sensors, causing layer shifting and inaccurate readings.

Purpose of the Study:

  • To develop a highly sensitive and wide-ranging flexible sensor for accurate skin strain capture.
  • To overcome limitations of existing sensors in handling complex, multi-directional deformations.
  • To enable precise tracking and decoding of human motion for applications like virtual reality and prosthetics.

Main Methods:

  • Designed a planar spring architecture by placing strain-accommodating space parallel to the strain direction.
Keywords:
3D printingMXene inkbidirectional strain sensinghand motion trackingwearable sensors

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  • Utilized a MXene/polyurethane ink with glycerol to form a dense hydrogen-bonding network.
  • Developed high-resolution printing techniques for the novel sensor architecture.

    • Main Results:

    • Achieved a high gauge factor of 83.7 for the all-printed sensor.
    • Demonstrated a wide linear bidirectional strain range of ±60%.
    • Successfully tracked and decoded complex wrist motions with ±10° accuracy using two sensors.
    • Enabled real-time, dexterous control of a virtual hand via finger-mounted sensors.

    Conclusions:

    • The developed planar spring architecture offers an effective approach for skin strain capture.
    • Synergistic innovation in materials (MXene/polyurethane ink) and architecture enhances sensor performance.
    • The sensor technology holds promise for advanced human-computer interfaces and wearable robotics.