Abstract: A software-based method and system enables the creation and automatic assessment of an image such as a free-body diagram by adding pre-made or user-created components to create the image. The input to the software may be a vectorized entity representation of constituent elements of a user's submitted image, including element properties. A pre-authored correct solution and a grading rubric may be used to compute a grade to be returned to the user as output. The assigned grade can be proportional to the severity of any errors in accordance with the grading rubric. The method and system may also generate feedback to the user indicating where and why grade points were lost.

Abstract: A software-based method and system enables the creation and automatic assessment of an image such as a free-body diagram by adding pre-made or user-created components to create the image. The input to the software may be a vectorized entity representation of constituent elements of a user's submitted image, including element properties. A pre-authored correct solution and a grading rubric may be used to compute a grade to be returned to the user as output. The assigned grade can be proportional to the severity of any errors in accordance with the grading rubric. The method and system may also generate feedback to the user indicating where and why grade points were lost.

Abstract: A method for balancing recognition accuracy and power consumption is provided. The method includes activating a plurality of sensors onboard a device for a first time period and calculating sensor readings by using a calculation function. The method also includes determining a plurality of sensor subsets of the plurality of sensors and calculating corresponding errors for the plurality of sensor subsets for the first time period. Further, the method includes calculating respective power consumption of running the sensor subsets of the plurality of sensors from the plurality of sensor subsets that produce the error below the user-defined error threshold and selecting a sensor subset with minimum power consumption from the sensor subsets as an optimal sensor subset. In addition, the method includes deactivating the plurality of sensors not in the optimal sensor subset and calculating and displaying sensor readings with the optimal sensor subset for a second time period.

Abstract: A method for balancing recognition accuracy and power consumption is provided. The method includes activating a plurality of sensors onboard a device for a first time period and calculating sensor readings by using a calculation function. The method also includes determining a plurality of sensor subsets of the plurality of sensors and calculating corresponding errors for the plurality of sensor subsets for the first time period. Further, the method includes calculating respective power consumption of running the sensor subsets of the plurality of sensors from the plurality of sensor subsets that produce the error below the user-defined error threshold and selecting a sensor subset with minimum power consumption from the sensor subsets as an optimal sensor subset. In addition, the method includes deactivating the plurality of sensors not in the optimal sensor subset and calculating and displaying sensor readings with the optimal sensor subset for a second time period.