System and method for measuring and adjusting physical resistance for athletic activities and fitness equipment
US-2016375308-A1 · Dec 29, 2016 · US
US2016174897A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016174897-A1 |
| Application number | US-201414578796-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 22, 2014 |
| Priority date | Dec 22, 2014 |
| Publication date | Jun 23, 2016 |
| Grant date | — |
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An apparatus for monitoring a condition of a human hand, relative to a reference environment, is disclosed. The apparatus includes at least one fiducial marker. The fiducial marker is in the field of view of an imaging system and the imaging system is designed for monitoring the human hand via the fiducial marker within the reference environment at a discrete point in time. The apparatus further includes at least one sensor capable of detecting an impact event associated with the condition of the human hand. The sensor may generate a signal indicative of the condition of the human hand at the discrete point in time and within the reference environment.
Opening claim text (preview).
What is claimed is: 1 . An apparatus for monitoring a condition of a human hand, relative to a reference environment, the apparatus comprising: at least one fiducial marker, the fiducial marker being in the field of view of an imaging system, the imaging system for monitoring the human hand via the fiducial marker in the reference environment at at least one discrete point in time; at least one sensor capable of detecting an impact event associated with the condition of the human hand, the at least one sensor generating a signal indicative of the condition of the human hand at the at least one discrete point in time and within the reference environment. 2 . The apparatus of claim 1 , wherein the condition associated with the human hand includes at least one of a hand location, a hand orientation, a joint position of a joint of the human hand, a movement of the human hand, a repetition of hand movement, a pressure on the human hand, or a vibration of the human hand. 3 . The apparatus of claim 1 , further comprising at least one temperature sensor for detecting a temperature associated with a condition of the human hand, the temperature sensor generating a signal indicative of the condition of the human hand at the at least one discrete point in time and within the reference environment. 4 . The apparatus of claim 1 , further comprising at least one vibration sensor for detecting a vibration associated with a condition of the human hand, the vibration sensor generating a signal indicative of the condition of the human hand at the at least one discrete point in time and within the reference environment. 5 . The apparatus of claim 1 , wherein the at least one fiducial marker includes, at least, a passive fiducial marker. 6 . The apparatus of claim 1 , wherein the passive fiducial marker is a Quick Response (QR) code. 7 . The apparatus of claim 1 , wherein the at least one fiducial marker includes, at least, an active fiducial marker. 8 . The apparatus of claim 7 , wherein the active fiducial marker is a light emitting diode (LED) providing light pulses detectable by the imaging system. 9 . A method for monitoring a condition of a human hand, relative to a reference environment, the method comprising: detecting the human hand using an imaging system at at least one discrete point in time, the imaging system detecting the human hand by detecting at least one fiducial marker associated with the human hand; detecting an impact event associated with the condition of the human hand using at least one sensor; and generating, using the at least one sensor, a signal indicative of the condition of the human hand at the at least one discrete point in time and within the reference environment. 10 . The method of claim 9 , further comprising: providing the signal indicative of the condition of the human hand to a computer; analyzing, using the computer, the signal indicative of the condition of the human hand for ergonomic monitoring of the human hand; and generating, using the computer, ergonomic data associated with the human hand. 11 . The method of claim 10 , wherein the ergonomic data includes at least one of task related ergonomic impact data, environmental health data, environmental safety data, or ergonomic automation data. 12 . A glove, the glove being wearable on a human hand and configured for monitoring a condition of the human hand, relative to a reference environment, the glove comprising: a fabric, the fabric movable with the human hand when the glove is worn by the human hand; at least one fiducial marker, the fiducial marker being in the field of view of an imaging system, the imaging system for monitoring the human hand via the fiducial marker in the reference environment at at least one discrete point in time; a plurality of sensors operatively associated with the fabric, the plurality of sensors including at least one impact sensor capable of detecting an impact event associated with the condition of the human hand at the at least one discrete point in time and within the reference environment. 13 . The glove of claim 12 , wherein the plurality of sensors include fabric-embedded sensors. 14 . The glove of claim 13 , wherein the fabric-embedded sensors are subdivided into a plurality of fabric compression zones, each of the fabric compression zones capable of providing a signal indicative of a compression event at its respective location on the fabric. 15 . The glove of claim 14 , wherein each of the plurality of fabric compression zones is located, on the fabric, at a location associated with an interior of a joint of the human hand. 16 . The glove of claim 13 , wherein the fabric-embedded sensors are subdivided into a plurality of fabric extension zones, each of the fabric extension zones capable of providing a signal indicative of an extension event at its respective location on the fabric. 17 . The glove of claim 16 , wherein each of the plurality of fabric compression zones is located, on the fabric, at a location associated with an exterior of a joint of the human hand. 18 . The glove of claim 13 , wherein the fabric-embedded sensors include at least one of a soft textile sensor, a conductive elastic yarn, an elastomeric polymer, or an elastic conductive ribbon. 19 . The glove of claim 12 , further comprising at least one temperature sensor for detecting a temperature associated with a condition of the human hand, the temperature sensor generating a signal indicative of the condition of the human hand at the at least one discrete point in time and within the reference environment. 20 . The glove of claim 12 , further comprising a motion sensor for detecting motion associated with a condition of the human hand at the at least one discrete point in time and within the reference environment.
Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818) · CPC title
adapted to measure environmental factors, e.g. temperature, pollution · CPC title
using markers · CPC title
using light, e.g. diagnosis by transillumination, diascopy, fluorescence (photoacoustic A61B5/0093; optical measurement of heart rate A61B5/02416; optical measurement of blood flow A61B5/0261; optical measurement of analytes A61B5/1455) · CPC title
the sensor is mounted in or on a conformable substrate or carrier · CPC title
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