Low Cost Data Glove for Hand Gesture Recognition by Finger Bend Measurement

An approach for measuring local hand motions is explored by using induction coils as sensors for a data glove. The primary goal is to deduce finger joint angles in real time and recognize the corresponding hand gestures. The task is accomplished by relating the finger bending with the induced voltage measurements. The induced voltages are subsequently processed to extract the information of the finger angles. Induction coil properties are explored to realize their significance in finger bending measurement. The principle of electromagnetic induction is used to accomplish near field wireless transfer of energy between the coils. Different human hand motion constraints are also exploited to increase the effectiveness of the proposed approach. The technique is realized and tested by prototyping an embedded system that ensures easy comprehension of its working. Experimental results show the efficacy of the proposed design.