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For realizing multi-DOF interfaces in wearable computer system, accelerometers and surface EMG sensors are used synchronously to detect hand movement information for multiple hand gesture recognition. Experiments were designed to collect gesture data with both sensing techniques to compare their performance in the recognition of various wrist and finger gestures. Recognition tests were run using different subsets of information: accelerometer and sEMG data separately and combined sensor data. Experimental results show that the combination of sEMG sensors and accelerometers achieved 5-10% improvement in the recognition accuracies for hand gestures when compared to that obtained using sEMG sensors solely.