An Efficient PointLSTM for Point Clouds Based Gesture Recognition

Point clouds contain rich spatial information, which provides complementary cues for gesture recognition. In this paper, we formulate gesture recognition as an irregular sequence recognition problem and aim to capture long-term spatial correlations across point cloud sequences... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Hand Gesture Recognition NVGesture PointLSTM Accuracy 87.9 # 1
Hand Gesture Recognition SHREC 2017 PointLSTM 14 gestures accuracy 95.9 # 1
28 gestures accuracy 94.7 # 1
Hand Gesture Recognition SHREC 2017 track on 3D Hand Gesture Recognition PointLSTM 14 gestures accuracy 95.9 # 1
Gesture Recognition SHREC 2017 track on 3D Hand Gesture Recognition PointLSTM 14 gestures accuracy 95.9 # 1

Methods used in the Paper