Abstract: This study addresses the demand for high sensitivity, rapid response, and intelligent recognition in flexible wearable sensors for motion monitoring and human-machine interaction. A dual-modal flexible textile sensor based on knitted Kevlar fabric was developed, and its application in smart sports was investigated. Knitted Kevlar fabric was used as the flexible substrate, and a polyimide (PI) solution was applied by dip coating, followed by laser direct writing to induce in situ graphitization of polyimide and construct a three-dimensional porous laser-induced graphene (LIG) conductive network on the fabric surface. Scanning electron microscopy (SEM) , thermogravimetric analysis (TGA) , and Raman spectroscopy were employed to characterize the conductive layer, while tensile and pressure tests were conducted to evaluate the sensing performance. Subsequently, a sensor array was integrated into a smart glove to collect multichannel resistance signals under different basketball-holding postures, and a one-dimensional convolutional neural network (1D-CNN) was employed for posture recognition. The fabricated sensor exhibited good dual-modal sensing capability for tensile strain and pressure. In the tensile sensing mode, the gauge factor (GF) reached a maximum of 48.5, with a response time and recovery time of 0.25 s and 0.22 s, respectively. In the pressure sensing mode, the sensitivity (S) reached a maximum of 1.22 kPa⁻¹, with a response time and recovery time of 0.03 s and 0.05 s, respectively. Both sensing modes maintained stable responses during long-term cyclic testing lasting thousands of seconds. Based on the signals collected by the smart glove for four typical basketball-holding postures, the one-dimensional convolutional neural network achieved a posture recognition accuracy of 94%. The fabricated flexible textile sensor enables dual-modal strain and pressure sensing, and its integration with a smart glove and deep learning enables recognition of basketball-holding postures, demonstrating its potential for applications in smart sports and intelligent wearable devices.