scispace - formally typeset
Patent

Parallelized human body behavior identification method

Dong Min, +3 more
Reads0
Chats0
TLDR
In this paper, a parallelized human body behavior identification method is presented, where skeleton data of Kinect is used as input; a distributed behavior identification algorithm is implemented based on a Spark computing framework; and a complete parallel identifying process is formed.
Abstract: 
The present invention discloses a parallelized human body behavior identification method. According to the method, skeleton data of Kinect is used as input; a distributed behavior identification algorithm is implemented based on a Spark computing framework; and a complete parallel identifying process is formed. Acquisition of the skeleton data of a human body is based on scene depth acquisition capacity of Kinect and the data is preprocessed to ensure invariability of displacement and scale of characteristics; and a human body structural vector, joint included angle information and skeleton weight bias are respectively selected for static behavior characteristics and a dynamic behavior searching algorithm for a structural similarity is provided. On the identification algorithm, a neural network algorithm is parallelized on Spark; a quasi-newton method L-BFGS is adopted to optimize a network weight updating process; and the training speed is obviously increased. According to an identification platform, a Hadoop distributed file system HDFS is used as a behavior data storage layer; Spark is applied to a universal resource manager YARN; the parallel neural network algorithm is used as an upper application; and the integral system architecture has excellent extendibility.

read more

Citations
More filters
Patent

Human skeleton behavior recognition method and device based on deep reinforcement learning

Lu Jiwen, +3 more
TL;DR: Wang et al. as discussed by the authors proposed a human skeleton behavior recognition method and device based on deep reinforcement learning. But their method is limited to a single video segment and requires uniform sampling on each video segment to obtain a fixed frame number.
Patent

Human body skeleton motion sequence behavior identification method

Wang Liang, +1 more
TL;DR: In this article, a human body skeleton motion sequence behavior identification method was proposed, which includes acquiring human body body skeleton node coordinates, serially connecting the nodes corresponding to the limbs of the human skeleton to form the motion characteristic expressions of the limbs and the trunk, and arranging the vector expressions corresponding to frames in the human body skeletons motion sequence according to time sequence to obtain a three dimensional matrix.
Patent

Artificial intelligence operation method and device applied to game

Wan Le, +5 more
TL;DR: In this article, an artificial intelligence operation method and device applied to games is described, which consists of the following steps: receiving status information sent by a client end, wherein the status information is used for indicating present game status of the client end; using a built model to obtain motion indication information, whereby the motion indications are used for the next motion of the current game status, and each motion combination comprises a plurality of motions executed in sequence.
Patent

Double-frame depth and motion estimating method based on convolutional neural network

Xia Chunqiu
TL;DR: In this paper, an image pixel classifying method based on the convolutional neural network (CNN) was proposed, which mainly includes the steps of image inputting, self-help network processing, iterative processing, image thinning and estimation result obtaining.
Patent

Predictive modeling optimization

Mcshane Alan, +9 more
TL;DR: In this article, the authors describe techniques for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by a data platform to train a predictive model based on the input training data by delegating one or more data processing operations to a plurality of nodes across the platform.
References
More filters
Journal ArticleDOI

Abnormal human activity recognition system based on R-transform and kernel discriminant technique for elderly home care

Zafar Ali Khan, +1 more
- 01 Nov 2011 - 
TL;DR: A system for elderly care by recognizing six abnormal activities; forward fall, backward fall, chest pain, faint, vomit, and headache, selected from the daily life activities of elderly people is presented.
Patent

Human falling detection method based on machine vision

Xin Ma, +3 more
TL;DR: In this paper, a human falling detection method based on machine vision is proposed, under the conditions that all detected objects are people in indoor environment and the activities of all people can be captured by a depth camera, the method comprises the following steps of: (1) acquiring an image by using the depth camera; (2) subtracting a background from the image which is acquired, and extracting a foreground from image; (3) acquiring a foreground contour by using a binary image contour extraction algorithm; (4) performing convolution computation on the foreground contours and Ga
Patent

Hydroelectric equipment monitoring and fault diagnosis system based on big data technology

Liu Hongchao, +2 more
TL;DR: In this paper, the authors proposed a fault diagnosis and early warning system based on the big data technology for hydroelectric equipment monitoring and fault diagnosis, which consists of a visualization display module, an alarm management module, a query and statistics module and a nodule.
Patent

Method and device for pedestrian detection based on depth convolutional network

Wang Yongqiang, +4 more
TL;DR: In this paper, a method and a device for pedestrian detection based on a depth convolutional network is presented. The method comprises a CNN training step and a pedestrian detection step.