5031 results about "Sensor node" patented technology

An overload on a communication path in a sensor network system is prevented while transferring information from a sensor node as close to real time as possible. When the transfer rate of events transferred from a boundary node (DR) toward a gateway (GW) exceeds a limit transfer rate (VL), one of nodes on the sensor node (S) side whose transmission rate meets a preset condition is identified as an excess transmission rate node. The excess transmission rate node, or a node that is not the excess transmission rate node and whose transmission rate should be reduced, is chosen as a deceleration node. A node that reduces the transmission rate of events from the deceleration node, or the transfer rate of the events, is chosen as a deceleration processing executing node. The deceleration processing executing node is instructed to execute preset processing.

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCl) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCI) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.

A method of self-organizing sensor nodes in a wireless sensor network (WSN); a method of localizing mobile nodes in a WSN; and a method of self-calibrating a WSN are disclosed. The method of self-organizing sensor nodes in a WSN includes configuring sensor nodes to in turn broadcast consecutive messages at a plurality of pre-defined and incrementally increasing power levels; detecting receipt of the broadcasted messages at each of the sensor nodes and notifying a master node as to the identity of each sensor node receiving the broadcasted message and the power level at which it was received to define a detected neighborhood for each sensor node; determining relative locations of sensor nodes with the detected neighborhoods; and mapping relative locations of the sensor nodes by the master node based on results of the neighborhood detection and known locations of two anchor nodes.