4 results about "Action Code" patented technology

The invention relates to the technical field of multi-modal interaction, in particular to a multi-modal interaction control method and system for a sweeping robot, and the method comprises the following steps: collecting voice and gesture input, extracting voice trigger information and action features, generating a modal frequency mark and an instruction list, matching a task path, and generating a modal identification table. The method comprises the following steps: extracting and comparing action sequences to recognize a master control mode, analyzing continuity to generate a response mark, and screening consistent input to generate an interaction instruction result. In the method, through extracting time, quantity and confidence characteristics of voice and gesture input, establishing frequency and trigger marks of multi-mode input, realizing accurate recognition of an input state; a task path and semantic content are combined to carry out space and semantic matching, the task relevance judgment capability is improved, based on action code comparison, dominant modes are identified, conflict instructions are eliminated, the master control status of each mode in continuous tasks is dynamically balanced, the control response accuracy is improved, and an interaction mechanism with intelligent judgment capability is constructed.

The invention discloses a self-calibration IMU intention recognition method and system, and belongs to the technical field of man-machine interaction. The method aims at solving the problems that in the prior art, due to drifting of a sensor, the long-term stability is poor, and due to the fact that an action process and a static posture cannot be distinguished, an instruction is mistakenly triggered and repeated. In order to solve the problem, the method provided by the invention comprises the following steps: acquiring a motion data stream of a sensor, and segmenting the motion data stream into analysis windows; independently determining an action code for representing a dynamic process in the window based on the dynamic characteristics in the analysis window; independently determining a state code for representing the static posture of the tail end of the window based on the static characteristics in the analysis window; and generating a control instruction based on the logic association verification between the action code and the state code. In addition, drift is suppressed through a zero-speed updating mechanism, and drift is actively compensated by resetting a yaw reference when the upright posture is detected.

This invention discloses a method and apparatus for cross-project security remediation detection and migration in the blockchain ecosystem, relating to the field of blockchain technology. The method includes: constructing a code submission knowledge graph with code submission as the central node and edge relationships such as submitted modified functions, submitted related topics, submitted related merge requests, submission belonging to a project, project reuse of a project, and merge request discussion topics; determining the editing action based on the syntax tree differences of the affected functions to which the code submission belongs, and determining the action code sequence by backfilling the original source code; outputting the remediation probability of a code submission belonging to a security remediation submission using the submission message and line-level differences, the code submission evidence subgraph of the code submission knowledge graph, and the action code sequence; and constructing cross-project migration rules and performing project migration detection when the remediation probability is greater than a probability threshold to determine the cross-project vulnerability status. Based on the above scheme, the identification and migration performance of cross-project security remediation in the blockchain ecosystem is improved.

The application discloses a continuous action semantic coding and translation method and system for a humanoid robot, and the method comprises the following steps: establishing a unified reference time axis, and setting a sampling and coding element action data structure and a decoding element action data structure; sampling data of each actuator according to the sampling and coding element action data structure; coding the sampling points according to action semantics, and outputting the coding and storing the coding in an action library after the coding is completed; taking out the action coding stream from the action library when the robot moves, and decoding the action coding stream; calculating the continuous action coding stream by using an action smoothing algorithm after the decoding, and filling each action point of the continuous action coding stream according to the decoding element action data structure; and outputting the decoded action coding stream and executing the decoded action coding stream according to the unified time axis. The joints of the humanoid robot can independently move at the same time point, and the linkage action of the humanoid robot can be realized on the whole.