Gesture recognition is the conversion of a hominid movement or gesture using a mathematical algorithm and enables any person to interrelate with the machine in the absence of any physical devices, as an input mechanism to perform desired actions in a system.
The substantially continuously variable command output can be independent of a command produced by gesture identification. The substantially continuously variable command parameter can be made to control a quantity associated to a command produced by gesture identification.
The signal from which the substantially continuously variable command output is extracted and the signal from which said signature is obtained can originate from mutually different muscular regions, e. The signal The analysis of gestures in human which the substantially continuously variable command output is extracted and the signal from which the signature is obtained can originate from common muscular regions, e.
According to a second aspect, the invention relates to an apparatus for obtaining a signature of a gesture produced in free space, by deriving at least one time-evolving signal representative of muscular activity involved in producing the gesture and determining at least one value of a parameter yielded by that signal, characterised in that it comprises: According to a third aspect, the invention relates to an apparatus for executing a method according to the first aspect.
According to a fourth aspect, the invention relates an apparatus according to the second or third aspect, housed in a unit wearable by a person and further comprising means for sending extracted command inputs to a command executing apparatus. According to a fifth aspect, the invention relates to a wearable apparatus responsive to user commands, characterised in that it comprises an apparatus according to any one of the second to fourth aspects.
According to a sixth aspect, the invention relates to the of the apparatus according to any one of the second to fifth aspects for sending user command inputs to an apparatus.
According to a seventh aspect, the invention relates to a computer program product loadable into the memory of a digital computer, comprising software code portions for performing at the steps of any one of appended claims 1 to 26 when that product is run on a computer.
The invention and its advantages shall be more clearly understood from reading the following description of the preferred embodiments, given purely as non-limiting examples, with reference to the appended drawings in which: Referring to figure 1, a subject 1 is shown producing a gesture which is analysed in accordance with the invention, the gesture involving a movement at the level of the forearm 1a, wrist 1b and hand 1c of one arm.
In the example, the gesture is placing the hand open with the wrist kept substantially unflexed, to express a given command. The overall muscular activity in producing the gesture is detected by a set of two electromyographic EMG sensors 2a, 2b positioned near the top of the forearm. Typically, the sensors are arranged to detect signals from antagonistic muscles of that region, e.
Other numbers of sensors can be used. Note that the movement is performed in free space, in that there is no established absolute reference position for the arm or body: The data acquired from each of the sensors are digitised and formatted for sending, e.
The signals are then supplied to a gesture analysis unit 8 where a correlation is established between the currently produced gesture and the command it expresses. The result of the correlation is sent to a command generation unit 10 which produces that command in a form exploitable by the apparatus 12 for which it is intended, e.
The basic analysis performed by the gesture analysis unit 8 is illustrated in figure 2 for the signal from one of the sensors sensor 2b in the exampleit being understood that the same analysis is performed in parallel for the signal from each of the other sensors.
The preprocessed raw signals from the sensor are submitted to preprocessing by the data acquisition unit 6 and sent as preprocessed EMG signals 14 hereafter designated "EMG signal" to the gesture analysis unit 8.
The EMG signal constitutes an example of what is generically termed a time-evolving signal. At the gesture analysis unit 8, the EMG signal level is constantly monitored to trigger a signal analysis program as soon as that level exceeds a first predetermined threshold Sthresh.
More particularly, when that threshold Sthresh is crossed, a time count starting from time t0 is initiated. This time t0 defines the start of a time window or frame F. The envelope 16 of the EMG signal 14 is extracted using standard signal filtering techniques well known to the skilled person.
The envelope is a time varying signal typically a voltagewhich expresses the modulation - or variation - of the EMG signal on a time scale considerably longer than the periodicity of normal EMG signal oscillations. The curve of the envelope 16 generally follows the normal peak and trough values of the EMG signals 14, as shown, or its square.
The EMG signal may be initially rectified. The times t0-t8 at the boundaries of adjacent sub-frames are set beforehand.Abstract: The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI).
In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research.
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