Glove-type motion recognition system

Glove-type motion recognition system measuring resistance and capacitance changes in conductive fibers

This technology analyzes gesture information by measuring electrical signal changes (resistance and capacitance) resulting from joint bending in the finger and palm areas of a glove woven with conductive fibers.

Conventional data gloves require complex manufacturing processes and incur high cutting and sewing costs due to the integration of wires, electronic sensors, and circuits.

This technology integrates the sensor area by weaving conductive fibers into the same layer as non-conductive fibers, configured to detect changes in finger joint contact points and palm capacitance. Applicable to rehabilitation training, wearable interfaces, and remote robot operation, it enhances gesture detection performance with a simple structure that eliminates the need for embedded circuits.

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Key Features:

• A glove featuring palm and finger areas woven from non-conductive fibers, with a first sensing area woven from conductive fibers at the finger joint regions.
• A sensing pad woven to face the palm area, featuring a second conductive area woven from conductive fibers.
• A plurality of first conductive areas woven from conductive fibers on the same layer as the palm area, arranged in parallel in one direction.
• A glove-type motion recognition system that measures capacitance at each point where the first and second conductive areas intersect.

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This invention was developed with support from the Ministry of Science and ICT for the development of biomimetic bionic arm mechanisms.