Elevator Controllers

14 Nov 2020 23:37

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At dashed-block 450 , the gesture detection unit acquires illumination strip data. According to one or more embodiments or any of the above elevator system embodiments, the detection system can include one or more speakers providing audible notifications in accordance with commands from the gesture detection unit. According to one or more embodiments or any of the above detection system embodiments, the one or more gesture sensors can generate a detection zone for detecting at least one user. The elevator system of claim 8, wherein the one or more gesture sensors generate a detection zone for detecting at least one user. The detection system of claim 1, wherein the gesture detection unit applies digital filters to the motion to output a pattern that is compared to a list of motions formats to determine whether the pre-determined hand gesture format is found within the motion.

For example, it can be detected when a user approaches a finger to a certain area of a screen and interpreted this gesture taking into account a currently displayed content in this screen area and understood as a function request. In particular, the gesture recognition device can be designed to recognize gestures of the user when approaching the screen capacitively, optically or due to received infrared radiation. The gesture recognition device can recognize gestures of the user when approaching the screen and determine, for example, that a gesture should relate to a currently displayed screen content. As a result, the gesture recognition device can interpret a gesture more easily and recognize a request desired by the user. NFC means near field communications and is a short range form of wireless technology that lets you exchange data with other NFC enabled devices. NFC works within a radius of 10 centimetres making it an ideal method for sending data securely.

If your expected inputs are wide and varied, such as usernames and passwords a more flexible touch free system should be considered. In an earlier blog post we discussed the difference between gesture tracking and hand tracking systems.

Depending on the application, those changes might include motion when there shouldn’t be any, triggering a security alert. Or if there is no movement when grandma should be stirring, a notification might get pushed to her care provider. Surface Electromyography and Inertial Measurement Unit sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the execution of the 26 gestures of the Italian Sign Language alphabet. For each gesture, 30 data acquisitions were executed, composing a total of 780 samples included in the dataset.

It consists of building a spatial-temporal descriptor of a high order function , obtained by concatenating the feature vectors at consecutive frames of the sequence. The concatenated feature vector is then passed to a classifier which determines if it corresponds to the target gesture. 8 illustrates the second type of approach, where one makes use of a state machine that allows one to account for the recognition of the different sub-actions in the sequence. Each state applies a classifier that is specifically trained to recognize one of the sub-actions. 7 depicts a two-part user gesture (sub-action 1 and sub-action 2) that is made up of two sub-actions in accordance with one or more embodiments.

The most promising applications for this patent-pending technology are focused on environments where reliable, low-cost, sanitary interfaces are critical. Hospitals, cleanrooms, restaurants and vending machines need to limit cross contamination between people. This technology provides a method of machine interaction without contact, with dramatically lower costs and higher reliability non-contact button for elevator when compared to traditional push-button interfaces. Though many primate species have a rich repertoire of facial, manual and bodily signals, primate gestures lack the representational elements characteristic of many human gestures. Although some primate gestures have predictable meanings, the meanings are not iconically represented nor are they culturally variable .

controlling the display based upon the third emulated remote control device command such that the active pane of the EPG is selected. controlling the display based upon the second emulated remote control device command such that the active pane of the EPG is moved from a first position to a second position. controlling a display based upon the first emulated remote control device command such that the EPG is displayed on the display. a signal output device configured to communicate the emulated remote control device command to at least one media presentation device using a communication media that is used by the remote control device.

A second is a Supervisory Control and Data Acquisition system in which the complete plant can be configured and controlled from a control room. Experts using these systems can give a single command to multiple devices or multiple commands to a single piece of equipment. Centralizing the control reduces the cost of production and improves unit quality and employee safety, especially when the shop floor is hazardous and time-to-market is important.

It was also suggested that because gesturing is a natural, automatic behaviour, the system must be adjusted to avoid false responses to movements that were not intended to be system inputs . It is particularly important when industrial robots could potentially cause damage to people and surrounding objects by false triggers. At block 541, the gesture detection unit stores the pattern as non-valid gesture . At block 570, the gesture detection unit stores the pattern as a valid gesture. At block 580, the gesture detection unit sends a command to execute door open operation. The process flow 400 begins at block 410, where the gesture detection unit reads an elevator door status. At decision block 420, the gesture detection unit determines if the elevator door status is open or closed.

For example, with the hand gesture 310 corresponding to a pause command, the user's hand is extended in an outward, palm-out position. Any suitable hand position may be predefined to correspond to a command function. Here, the outward, palm-out position at the ending location 306 corresponds to the pause command. Since a series of images have been captured while the user 128 is performing the hand gesture 310, the processor system 106, by executing the hand gesture recognition logic 120, is able to track the movement of the user's hand along the path 304. Intervening images sequentially show the movement of the user's hand along the path 304. To facilitate an explanation of the functionality of the remote control device 200, the functionality of the exemplary media device 102, here a set top box, is now broadly described.

Because the mechanic frequently encountered the same types of problems, he had developed a set of ‘habitualized’ gestures he used when faced with familiar problems. These gestures had similar forms every time he used them and were closely based on the motor patterns he used when solving the problems in the real world. These types of routinized gestures lie somewhere between iconic representational gestures and conventional gestures because they use the same movement pattern every time. Excella Electronics specialises in manufacturing and supplying motion control devices, industrial electronic instruments, elevator control and safety systems and automation products. Through a strategy of continuous improvement and teamwork, we are dedicated to establishing the highest industry standards for quality, value, service and technology. While limiting gestures on a system that requires quick adoption is incredibly important, it is worth also considering use cases where users can be trained over time.

EMG and IMU data were collected in a 2 seconds time window, at a sampling frequency of 200 Hz. The system continuously checks stock availability, and requests for medicines are instantly sent to robots that select and dispatch the drugs. A tablet computer has replaced the pharmacists’ prescription pads, and a color-coded screen on every ward tells medical staff exactly what stage each prescription has reached. Forth Valley Royal’s associate director of nursing, Helen Paterson, confirms that the paperless system has freed up nursing time, and hospital managers said that the £400,000 automated pharmacy has saved £700,000 from the hospital’s drug bill.

As an example, Wi-Fi’s physical layer protocols already perform certain measurements for sensing the surrounding environment. But those measurements weren’t exactly designed for the applications targeted by Wi-Fi sensing.

When the hand lifts, the distance between all parts of the hand and the sensing electrodes increases, and the recognition correct rate is only about 85%. In contrast, when the hand sags, the recognition correct rate increases significantly to 95.8%. When the distance between the two is relatively close, the gesture feature discrimination is high, but as the distance increases, the feature extraction difficulty increases, resulting in a decrease in recognition correct rate. Among the four gestures in different states, the recognition rate of the W-shaped gesture is the lowest, which is 83.5%, and the recognition rate of the fist gesture is the highest, reaching 96.5%. When the distance between the hand and the sensing electrodes is 1 mm, the difference in the potentials of all electrodes under different gestures is obvious, and the degree of discrimination is high. However, the magnitude of the potential change is limited to a maximum of 0.5 V. As the distance between the hand and the electrode increases, the amplitude of the potential change further decreases, and the feature extraction difficulty increases. Taking the W-shaped gesture as an example, the maximum potential change of the sensing electrodes is calculated when the distance between the hand and the electrode is 1 mm, 20 mm, 40 mm, 60 mm, 80 mm, and 100 mm, respectively.

In this respect, the feedback devices 224 may communicate bi-directionally and may be used to provide for interactivity between the system 200 and a user of the system 200. The data 110 may include data provided by one or more sensors, such as a two-dimensional or three-dimensional sensor. The data 110 may be processed by the processor 106 to control one or more parameters associated with a conveyance device. For example, the data 110 may include data indicative of an environment or scene captured by one or more sensors, including gesture data that may be included in the environment/scene.

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