Title :
A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing
Author :
Cavallo, Filippo ; Sabatini, Angelo M. ; Genovese, Vincenzo
Author_Institution :
Adv. Robotics Technol. & Syst. Lab., Scuola Superiore Sant ´´Anna, Pisa, Italy
Abstract :
In this paper, we develop a system for which applications in the field of personal navigation are planned. In the current version, the system embodies a Global Positioning System (GPS) receiver and an inertial measurement unit (IMU), composed of two dual-axis accelerometers and one single-axis gyro. The IMU is positioned at a subject´s foot instep, and it is intended to produce estimates of some gait parameters, including stride length, stride time, and walking speed. Data from GPS and IMU are managed by a DSP-based control box. The computations performed by the DSP processor allow to detect subsequent foot contacts by a threshold-based method applied to gyro signal, and to reconstruct the trajectory of the foot instep by numerical strapdown integration. Features of human walking dynamics are incorporated in the algorithm to enhance the estimation accuracy against errors due to sensor noise and integration drift. All computations are performed by the DSP processor in real-time conditions. The foot sensor performance is assessed during outdoor level walking trials. The traveled distance estimated by inertial dead-reckoning is compared with the estimate produced by GPS in experimental conditions where GPS can be used as a reference source for accurate absolute positioning. Results show the remarkable accuracy achieved by foot inertial sensing.
Keywords :
Global Positioning System; accelerometers; digital signal processing chips; gait analysis; inertial navigation; motion control; position control; sensors; DSP processor; Global Positioning System; dual-axis accelerometers; foot inertial sensing; foot sensor; gait assessment; gyro signal; human walking dynamics; inertial measurement unit; integration drift; numerical strapdown integration; personal navigation system; real-time assessment; sensor noise; threshold-based method; Accelerometers; Digital signal processing; Foot; Global Positioning System; Humans; Legged locomotion; Measurement units; Navigation; Real time systems; Signal processing; GPS; gait assessment; inertial sensing; personal navigation; strapdown integration;
Conference_Titel :
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8912-3
DOI :
10.1109/IROS.2005.1544967