Abstract: An apparatus for upholstering a truss allows an operator to staple a fabric web to the truss, rotate the truss, further staple the semi-finished truss and cut the fabric web. The truss is fully upholstered after the end surfaces of the truss are wrapped up in fabric and the fabric stapled in place. The apparatus may accommodate different size trusses. A web of fabric is pulled around at least one roller in the apparatus by rotation of two vise mechanisms on opposite sides of the truss.

Abstract: An apparatus for upholstering a truss allows an operator to staple a fabric web to the truss, rotate the truss, further staple the semi-finished truss and cut the fabric web. The truss is fully upholstered after the end surfaces of the truss are wrapped up in fabric and the fabric stapled in place. The apparatus may accommodate different size trusses. A web of fabric is pulled around at least one roller in the apparatus by rotation of two vise mechanisms on opposite sides of the truss.

Abstract: A method of detecting impairment of a driver of a vehicle. The method includes sensing, using a sensor, a position of the driver's head at a plurality of time points; determining, using a microprocessor, changes in the position of the driver's head between the plurality of time points; evaluating, using a microprocessor, whether the changes in the position of the driver's head between the plurality of time points exhibit at least one of a periodic and a quasi-periodic pattern; determining whether the driver is impaired based on the pattern of the changes in the position of the driver's head; and if the driver is impaired, alerting the driver using an alarm.

Abstract: A method of detecting impairment of a driver of a vehicle. The method includes sensing, using a sensor, a position of the driver's head at a plurality of time points; determining, using a microprocessor, changes in the position of the driver's head between the plurality of time points; evaluating, using a microprocessor, whether the changes in the position of the driver's head between the plurality of time points exhibit at least one of a periodic and a quasi-periodic pattern; determining whether the driver is impaired based on the pattern of the changes in the position of the driver's head; and if the driver is impaired, alerting the driver using an alarm.

Abstract: A method of detecting impairment of a driver of a vehicle. The method includes sensing, using a sensor, a position of the driver's head at a plurality of time points; determining, using a microprocessor, changes in the position of the driver's head between the plurality of time points; evaluating, using a microprocessor, whether the changes in the position of the driver's head between the plurality of time points exhibit at least one of a periodic and a quasi-periodic pattern; determining whether the driver is impaired based on the pattern of the changes in the position of the driver's head; and if the driver is impaired, alerting the driver using an alarm.

Abstract: A system for monitoring operator alertness. The system includes a sensor for detecting a head position property of a head of an operator and a controller in operative communication with the sensor. The controller is configured to collect a first plurality of time points of the head position property of the head of the operator, determine a baseline of the head position property of the head of the operator based on the first plurality of time points, collect a second plurality of time points of the head position property of the head of the operator, determine an operating condition of the head position property of the head of the operator based on the second plurality of time points, and evaluate the alertness of the operator based on a comparison of the operating condition to the baseline to identify a period of head stillness.

Abstract: A method of detecting impairment of a driver of a vehicle. The method includes sensing, using a sensor, a position of the driver's head at a plurality of time points; determining, using a microprocessor, changes in the position of the driver's head between the plurality of time points; evaluating, using a microprocessor, whether the changes in the position of the driver's head between the plurality of time points exhibit at least one of a periodic and a quasi-periodic pattern; determining whether the driver is impaired based on the pattern of the changes in the position of the driver' s head; and if the driver is impaired, alerting the driver using an alarm.

Abstract: Obtaining physiological data from a living being using non-contact sensors is disclosed. The non-contact sensors are disposed within, for example, a vehicle seat or bed. Signals detected by the non-contacting sensors, which include both physiological signals and ambient noise, are transmitted to a processing device which is positioned nearby; such as in the vehicle seat or bed. The processing device employs a stochastic resonance function whereby a signal-to-noise ratio of the physiological signals is improved. A wavelet multi-scale decomposition function and an adaptive threshold function are then used to identify the physiological signals and distinguish them from the ambient noise. The resulting signals are measured and then made available at an output of the processing device for transmission to and use by a human-machine interface.