Abstract
This work describes the analysis of different walking paths registered using a Light Detection And Ranging (LIDAR) laser range sensor in order to measure oscillating trajectories during unsupervised walking. The estimate of the gait and trajectory parameters were obtained with a terrestrial LIDAR placed 100 mm above the ground with the scanning plane parallel to the floor to measure the trajectory of the legs without attaching any markers or modifying the floor. Three different large walking experiments were performed to test the proposed measurement system with straight and oscillating trajectories. The main advantages of the proposed system are the possibility to measure several steps and obtain average gait parameters and the minimum infrastructure required. This measurement system enables the development of new ambulatory applications based on the analysis of the gait and the trajectory during a walk.
Highlights
Human movement has become an interesting research topic for understanding how the human body works [1,2,3]
Sensors 2011, 11 as an early indicator of some illnesses related with diabetes [8], osteoarthritis [9], cerebral paralysis, such as Parkinson’s disease [10,11,12,13], or as a tool to evaluate the likelihood of falls among the elderly [14,15]
The Light Detection And Ranging (LIDAR) provides information of several steps of the walk so the average and standard deviation of the main gait parameters are shown for each trajectory analyzed
Summary
Human movement has become an interesting research topic for understanding how the human body works [1,2,3]. The measurement of the walking and gait patterns has many applications. It can be used for specific applications such as identification [4,5], gender classification [6], crime scene reconstruction [7], etc. The techniques were divided into different groups, depending on the technology used in the assessment of footfall timing (computation of both times and displacements of the foot during contact time) such as goniometry, cameras, systems of video cameras, other motion analysis systems, force plates and using accelerometers. The information obtained with the sensors can be integrated in an articulated pendulum-like motion model [28] to get an estimate of the body movement. The estimate of the walking trajectory requires a large and expensive measurement facility [29]
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