公开(公告)号：US20180329506A1

公开(公告)日：2018-11-15

申请号：US15777981

申请日：2015-12-22

Applicant: Intel Corporation

Inventor： Zhiqiang Liang ,  Tinqian Li ,  Jinkui Ren

IPC: G06F3/01 ,  G06F3/0346

CPC classification number: G06F3/017 ,  G06F3/0346 ,  G06F3/038

Abstract: Systems and methods for recognizing a gesture in a wearable device are disclosed. The system may sense a plurality of sensor measurements during a gesture sensing session, and down-sample the measurements using an adaptive down-sampling interval. The adaptive down-sampling interval may be determined based at least on a fractional part of a ratio of a frame length of the sensor measurements to a specified target length shorter than the frame length. The magnitude of the down-sampled measurements is normalized, and a feature vector may be generated using the normalized measurements. A gesture recognizer module may associate a gesture with the feature vector using gesture classification.

公开(公告)号：US10782791B2

公开(公告)日：2020-09-22

申请号：US15777981

申请日：2015-12-22

Applicant: Intel Corporation

Inventor： Zhiqiang Liang ,  Tingqian Li ,  Jinkui Ren

IPC: G06F3/01 ,  G06F3/0346 ,  G06F3/038

Abstract: Systems and methods for recognizing a gesture in a wearable device are disclosed. The system may sense a plurality of sensor measurements during a gesture sensing session, and down-sample the measurements using an adaptive down-sampling interval. The adaptive down-sampling interval may be determined based at least on a fractional part of a ratio of a frame length of the sensor measurements to a specified target length shorter than the frame length. The magnitude of the down-sampled measurements is normalized, and a feature vector may be generated using the normalized measurements. A gesture recognizer module may associate a gesture with the feature vector using gesture classification.

公开(公告)号：US10747327B2

公开(公告)日：2020-08-18

申请号：US15195604

申请日：2016-06-28

Applicant: Intel Corporation

Inventor： Darshan Iyer ,  Nilesh K. Jain ,  Zhiqiang Liang

IPC: G06F3/0346 ,  G06F3/01 ,  G06K9/00 ,  G06K9/62

Abstract: Technologies for gesture recognition using downsampling are disclosed. A gesture recognition device may capture gesture data from a gesture measurement device, and downsample the captured data to a predefined number of data points. The gesture recognition device may then perform gesture recognition on the downsampled gesture data to recognize a gesture, and then perform an action based on the recognized gesture. The number of data points to which to downsample may be determined by downsampling to several different numbers of data points and comparing the performance of a gesture recognition algorithm performed on the downsampled gesture data for each different number of data points.