关键词: 生物特征, 手势识别, 加速度传感器, 差分检测, 基于改进的起始松弛点和绝对值距离的动态时间规整算法（L-ADTW）

Abstract: For gesture recognition algorithm has complex calculation, poor recognition rate and efficiency rate, this paper proposes a mobile terminal gesture recognition matching method based on L-ADTW, using the phone in-built accelerometer to carry out gesture recognition, adopting differential detection effective method to automatically detect the gesture sequence, employing the improved starting lax point for correcting gesture sequence. Then it uses the L-ADTW matching algorithm for effective gesture sequence to match, and analyzes the results of the matches compared with the optimal threshold. Experiments show that the proposed L-ADTW algorithm, under the premise of gesture matching efficience, drops the equal error rate to 2.5%, and the authentication success rate increases 5.37%.

Key words: biometric features, gesture recognition, acceleration sensor, differential detection, Lax points and Absolute Dynamic Time Wrap（L-ADTW）