Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a method to automatically translate a preexisting activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T, possibly of different modality. First,  use MIMO system identification techniques to obtain a function that maps the signals of S to T. This mapping is then used to translate the recognition system across the sensor domains.  demonstrate the approach in a 5-class gesture recognition problem translating beten a vision-based skeleton tracking system (Kinect), and inertial measurement units (IMUs). An adequate mapping can be learned in as few as a single gesture (3 seconds) in this scenario. The accuracy after Kinect-> IMU or IMU-> Kinect translation is 4% below the baseline for the same limb. Translating across modalities and also to an adjacent limb yields an accuracy 8% below baseline.  discuss the sources of errors and means for improvement. The approach is independent of the sensor modalities. It supports multimodal activity recognition and more flexible real-world activity recognition system deployments.
['Oresti Banos', 'Alberto Calatroni', 'Miguel Damas', 'Hector Pomares', 'Ignacio Rojas', 'Hesam Sagha', 'Jose del R. Mill´n', 'Gerhard Tröster', 'Ricardo Chavarriaga', 'Daniel Roggen']
I am writing a research paper on a idea Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities
[{"from": "human", "value": "I am writing a research paper on a idea Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a method to automatically translate a preexisting activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T, possibly of different modality. First,  use MIMO system identification techniques to obtain a function that maps the signals of S to T. This mapping is then used to translate the recognition system across the sensor domains.  demonstrate the approach in a 5-class gesture recognition problem translating beten a vision-based skeleton tracking system (Kinect), and inertial measurement units (IMUs). An adequate mapping can be learned in as few as a single gesture (3 seconds) in this scenario. The accuracy after Kinect-> IMU or IMU-> Kinect translation is 4% below the baseline for the same limb. Translating across modalities and also to an adjacent limb yields an accuracy 8% below baseline.  discuss the sources of errors and means for improvement. The approach is independent of the sensor modalities. It supports multimodal activity recognition and more flexible real-world activity recognition system deployments."}]