Trunk Angular Kinematics during Slip-Induced Falls and Activities of Daily Living - Towards Developing a Fall Detector

Author(s):  
Jian Liu ◽  
Thurmon E. Lockhart

The purpose of the current study was to investigate the trunk angular kinematics (i.e., angle and angular velocity) during slip-induced falls and activities of daily living (ADLs), with the aim to facilitate the development of a new fall detector. Ten elderly participated in a laboratory experiment, composed of normal walking, slip-induced falls, and 5 types of ADLs. Sagittal trunk kinematics was measured from optical motion analysis system. Angular phase plots were utilized to characterize falls from ADLs. Results indicated that backward falls were characterized by a simultaneous occurrence of a slight increase in trunk extension angle (average peak = 11°) and a dramatic increase in extension angular velocity (average peak = 139.7°/s). It was concluded that trunk angular kinematics could be used to design an effective fall detector.

2014 ◽  
Vol 136 (10) ◽  
Author(s):  
Jian Liu ◽  
Thurmon E. Lockhart

Prior to developing any specific fall detection algorithm, it is critical to distinguish the unique motion features associated with fall accidents. The current study aimed to investigate the upper trunk angular kinematics during slip-induced backward falls and activities of daily living (ADLs). Ten healthy older adults (age = 75 ± 6 yr (mean ± SD)) were involved in a laboratory study. Sagittal trunk angular kinematics were measured using optical motion analysis system during normal walking, slip-induced backward falls, lying down, bending over, and various types of sitting down (SN). Trunk angular phase-plane plots were generated to reveal the motion features of falls. It was found that backward falls were characterized by a simultaneous occurrence of a slight trunk extension and an extremely high trunk extension velocity (peak average = 139.7 deg/s), as compared to ADLs (peak average = 84.1 deg/s). It was concluded that the trunk extension angular kinematics of falls were clearly distinguishable from those of ADLs from the perspective of angular phase-plane plot. Such motion features can be utilized in future studies to develop a new prior-to-impact fall detection algorithm.


2013 ◽  
Vol 321-324 ◽  
pp. 684-687 ◽  
Author(s):  
Hai Yan Song ◽  
Jian Guo Zhang ◽  
Fang Wang

The measurement and analysis of human motion during the Activities of Daily Living (ADLs) is widely used in rehabilitation, ergonomics, diagnosis, and bionics etc. By using American PolhemusTMelectromagnetic tracking system, the human upper limb motions of 6 objects performing 12 basic actions of ADLs were measured. Then the joint angle ranges of human upper limb were obtained by upper limb motion analysis system developed by ourselves. The results can provide reference for complete, standardized Chinese adult human upper limb kinematics parameters.


2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Stefan Doebele ◽  
Sebastian Siebenlist ◽  
Helen Vester ◽  
Petra Wolf ◽  
Ulrich Hagn ◽  
...  

Author(s):  
Amanda L. Martori ◽  
Stephanie L. Carey ◽  
Derek J. Lura ◽  
Rajiv V. Dubey

Mild traumatic brain injuries (mTBI) are common in soldiers and athletes, and can affect many areas of a person’s daily life including gait [1]. Current methods of measuring gait parameters involve expensive optical motion capture systems, time intensive setup, wires, complicated filtering techniques, and a laboratory setting. A wearable and wireless motion analysis system would allow gait analysis to be performed outside of a laboratory setting during activities of daily living, in a clinical setting or on a football field. The purpose of this study was to develop and verify an algorithm to calculate knee flexion during slow gait, particularly during terminal stance and pre-swing phases, using wireless wearable sensors.


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