2001
DOI: 10.1007/3-540-44687-7_34
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A Reconfigurable Embedded Input Device for Kinetically Challenged Persons

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Cited by 6 publications
(14 citation statements)
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“…Regarding the computational subsystem, we showed in a previous publication [12] that a model of independently operating finite state machines (FSM) offers a good design tradeoff versus the usage of microcontrollers alone for free space motion detection. Furthermore, we showed that the sampling of real-time data is best performed by microcontrollers, leading to a hardware organization with fixed, as well as reconfigurable resources.…”
Section: System Architecturementioning
confidence: 99%
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“…Regarding the computational subsystem, we showed in a previous publication [12] that a model of independently operating finite state machines (FSM) offers a good design tradeoff versus the usage of microcontrollers alone for free space motion detection. Furthermore, we showed that the sampling of real-time data is best performed by microcontrollers, leading to a hardware organization with fixed, as well as reconfigurable resources.…”
Section: System Architecturementioning
confidence: 99%
“…During preliminary clinical evaluation of the system, many experiments have been performed, and thirteen motions have been successfully sampled and processed [12]. However, it turned out that a large number of complex motions was undesirable to the user, regardless of system capability.…”
Section: Motion Detection Modelmentioning
confidence: 99%
“…The general characteristics of the system, defined functionally and not in terms of implementation are: (a) low cost solid state (non-mechanical) sensors which are reliable and suitable for motion sensing, (b) real-time sampling of the data and (c) motion detection for a large number of motions (vocabulary), tunable to the needs of different persons. The system is presented in detail in [1]. The key decision for the system was the usage of solid-state accelerometers.…”
Section: System Descriptionmentioning
confidence: 99%
“…In [1] we presented the architecture of the system, and in [2] we presented an improved model in which the hardware efficiency is greatly improved by means of breakdown of complex motions into simple ones. The contributions of this work are:…”
Section: Introductionmentioning
confidence: 99%
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