Abstract: A method for assessing ergonomics of a human user in an environment is disclosed. The method includes generating a visual skeletal signal by using a visual sensor. The method further includes determining a first posture sample based on the skeletal signal, by using an electronic controller. The posture sample includes skeletal information including one or both of joint information and positioning information. The method further includes comparing the posture sample with an ergonomically ideal posture sample and determining an ergonomic report based on the comparing of the posture sample and the ergonomically ideal posture sample. The method further includes providing the ergonomic report via an output device.

Abstract: A method for identifying a motion of interest of an individual. The method includes receiving input data from a non-invasive motion sensor measuring movements of a person. The method also includes collecting motion sensor data for an interval of time. The illustrative embodiments also provide for analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions. The analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions. Classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion. The illustrative embodiments also provide for generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect.

Abstract: A method for assessing ergonomics of a human user in an environment is disclosed. The method includes generating a visual skeletal signal by using a visual sensor. The method further includes determining a first posture sample based on the skeletal signal, by using an electronic controller. The posture sample includes skeletal information including one or both of joint information and positioning information. The method further includes comparing the posture sample with an ergonomically ideal posture sample and determining an ergonomic report based on the comparing of the posture sample and the ergonomically ideal posture sample. The method further includes providing the ergonomic report via an output device.

Abstract: A method for identifying a motion of interest of an individual. The method includes receiving input data from a non-invasive motion sensor measuring movements of a person. The method also includes collecting motion sensor data for an interval of time. The illustrative embodiments also provide for analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions. The analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions. Classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion. The illustrative embodiments also provide for generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect.