Page 175 - Handbook of Electronic Assistive Technology
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Chapter 6 • Environmental Control  163



                 Multiple-Switch Input
                 The extent of control can also be increased through availability of a greater number of
                 access inputs, although most conventional EC devices have been limited to two-switch
                 input. The four orthogonal directions, as discrete cursor buttons or the directions of a joy-
                 stick, have been utilised to navigate around selection menus or for each to have separate
                 access functions.


                 Multidirectional – Proportional Input
                 The term proportional input is typically applied to input devices such as a joystick. The
                 proportionality of input signal relates to the direction it is deflected to and the amount
                 or time of that deflection. With EC, there are few instances where the appliance being
                 controlled has variable states. Potential examples are the dimming of lighting and move-
                 ment of powered beds or chairs. However, control of these is adequately achieved through
                 single-switch scanning, where a repeated control signal continues to be transmitted for
                 the duration of switch activation. Bed movement is curtailed by an automatically timed
                 cut-off to ensure the safety of the user.
                   Multidirectional and proportional controls are of significant benefit as an input means
                 for the computer-based EC units and especially those with computer application func-
                 tions, where they can provide the equivalent of a ‘mouse movement’.

                 Speech Recognition Input
                 Recognition of spoken commands from the user has been much sought after as an
                 access method for EC, especially for those with no upper limb or other means of move-
                 ment access. However, the availability of such products and the reliability of recognition
                 have until recently been limited (Judge et al., 2009). This is largely because of the size of
                 computer processing capacity required to run the recognition algorithms in real time,
                 compared to that available in circuitry capable of being battery powered and therefore
                 suitable for a portable device. This resulted in devices utilising limited command word
                 sets for recognition. They were also found to be suitable only for users who are able to
                 articulate speech clearly and consistently and have sufficient cognition to be tolerant
                 of the level of error in recognition (Judge et al., 2009). In contrast, speech recognition
                 has developed as a reliable and versatile means of access to computers, where there
                 is sufficient processor power available to run the algorithm programs effectively. Such
                 means may also be used in conjunction with a wireless microphone/headset to provide
                 a remote means of EC within the home, with appliance control transmitters connected
                 to or driven by the computer. As compact personal computers with sufficient process-
                 ing power become available, then these have the potential to provide a portable device
                 with integral speech recognition.
                   However, much recent technological development has been focused on providing high-
                 quality speech recognition via internet connection to utilise computer processor resources
                 ‘in the cloud’. Examples are Siri for iOS, Google for Android and Cortana for Windows
                 smart devices, and those in home hubs (Amazon Echo, Google Home, Apple Home).
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