Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach

Abstract

Abstract:In current clinical practice, functional limitations due to chronic musculoskeletal diseases are still being assessed subjectively, e.g., using questionnaires and function scores. Performance-based methods, on the other hand, offer objective insights. Hence, they recently attracted more interest as an additional source of information. This work offers a step towards the shift to performance-based methods by recognizing standardized activities from continuous readings using a single accelerometer mounted on a patient's arm. The proposed procedure consists of two steps. Firstly, activities are segmented, including rejection of non-informative segments. Secondly, the segments are associated to predefined activities using a multiway pattern matching approach based on higher order discriminant analysis (HODA). The two steps are combined into a multi-layered framework. Experiments on data recorded from 39 patients with spondyloarthritis show results with a classification accuracy of 94.34% when perfect segmentation is assumed. Automatic segmentation has 89.32% overlap with this ideal scenario. However, combining both drops performance to 62.34% due to several badly-recognized subjects. Still, these results are shown to significantly outperform a more traditional pattern matching approach. Overall, the work indicates promising viability of the technique to automate recognition and, through future work, assessment, of functional capacity.

Application of Intelligent Sensor Network in the Assessment of Table Tennis Teaching and Training Intensity, Training Volume, and Physical Fitness

“…With the increasing importance of sports and science and technology, sensor technology has been successfully applied to sports training, physiological and biochemical monitoring, and competition referee system (see Figure 1). As for the research on the application of sensors in physical training, Billiet et al carried out the experiment on the relationship between human motion acceleration and energy consumption earlier [7]. The piezoresistive multiaxis acceleration sensing device is used to record the motion acceleration of body, such as walking or running.…”