Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a computationally efficient orientation estimation algorithm using an inertial/magnetic sensor is presented for ambulatory real-time human motion tracking. Based on a quaternion formulation, the proposed algorithm is designed to have two main steps that are connected in feedback relationship: a quaternion measurement step with a vector selector scheme and a Kalman filter (KF) step. This allows us to choose only the quaternion as the state and measurement vectors in our KF design. Thus, the KF has a minimum-order structure (i.e., 4 th -order), which decreases the computational cost. The estimated orientation accuracy is validated experimentally by using an optical tracking system.
['Jung Keun Lee', 'Edward J. Park']
I am writing a research paper on a idea A minimum-order kalman filter for ambulatory real-time human body orientation tracking
[{"from": "human", "value": "I am writing a research paper on a idea A minimum-order kalman filter for ambulatory real-time human body orientation tracking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a computationally efficient orientation estimation algorithm using an inertial/magnetic sensor is presented for ambulatory real-time human motion tracking. Based on a quaternion formulation, the proposed algorithm is designed to have two main steps that are connected in feedback relationship: a quaternion measurement step with a vector selector scheme and a Kalman filter (KF) step. This allows us to choose only the quaternion as the state and measurement vectors in our KF design. Thus, the KF has a minimum-order structure (i.e., 4 th -order), which decreases the computational cost. The estimated orientation accuracy is validated experimentally by using an optical tracking system."}]