Usability of a wearable fall detection prototype from the perspective of older people–A real field testing approach

2018 ◽  
Vol 28 (1-2) ◽  
pp. 310-320 ◽  
Author(s):  
Friederike J. S. Thilo ◽  
Sabine Hahn ◽  
Ruud J. G. Halfens ◽  
Jos M. G. A. Schols
1988 ◽  
Vol 5 (1-2) ◽  
pp. 241-250 ◽  
Author(s):  
Curt Dudley-Marling ◽  
Ron G. Owston ◽  
Dennis Searle

2000 ◽  
Vol 63 (6) ◽  
pp. 260-269 ◽  
Author(s):  
Lynette Mackenzie ◽  
Julie Byles ◽  
Nick Higginbotham

The Home Falls and Accidents Screening Tool (HOME FAST) was developed as a screening instrument for use in a community preventive care trial for older people. This paper describes the first stage of the development of this screening tool. The objectives of the study were (i) to review existing home safety measures, (ii) to field test an instrument containing a pool of home safety items with the goal of identifying those hazards associated with falls in the home and (iii) to select the items for inclusion in a 25-item tool using an expert panel. The field testing took place in a rural area of Australia, where the pooled checklist was used to evaluate hazards within the homes of 83 older people. No individual hazards were associated with the risk of falls at home and, although participants who had experienced falls had a higher mean number of home hazards (mean = 13.7, SD 8.2), the differences between fallers and non-fallers was not significant. Items relevant to a rural population were indicated through field testing. Further psychometric testing of the HOME FAST and a meaningful method of scoring the checklist are now warranted.


2014 ◽  
Vol 63 (3) ◽  
pp. 253 ◽  
Author(s):  
T Jämsä ◽  
M Kangas ◽  
I Vikman ◽  
L Nyberg ◽  
R Korpelainen

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Friederike JS Thilo ◽  
Barbara Hürlimann ◽  
Sabine Hahn ◽  
Selina Bilger ◽  
Jos MGA Schols ◽  
...  

2018 ◽  
Vol 209 ◽  
pp. 33-41 ◽  
Author(s):  
Charles E. Schaefer ◽  
David R. Lippincott ◽  
Harald Klammler ◽  
Kirk Hatfield

2021 ◽  
Vol 64 (6) ◽  
pp. 2111-2124
Author(s):  
Andrii Yatskul ◽  
Frederic Cointault ◽  
Jean-Pierre Lemiere

HighlightsModeling provides the relationships between path, kinematics, geometry, and towed implements.Linear interpolation allows trajectories to be compared if data recording is random.Correction coefficients can be a solution to compensate for soil resistance.Abstract. Automatic guidance systems and autonomous vehicles require tested methods of path generation to ensure successful maneuvers (such as automatic trajectory correction and headland turn management). In this study, an evolution of Zakin’s kinematic modeling, as applied in the automobile industry, is proposed for an agricultural poly-articulated vehicle (representing a tractor or other type of towing vehicle with one or more towed implements attached with an articulated hitch). Geometry, vehicle ground speed, and angular steering velocity are considered in the generation of maneuvering paths. Based on the specifics of real field conditions (slope, plant residue, resistance due to soil compaction, etc.), the initial model was improved by introducing correction coefficients. An experimental setup is proposed using a tractor with two towed implements and a testing method involving point-to-point path comparison. The modeling method has potential for integrating more complex procedures (such as path generation, geolocation, and following) into the design of a maneuvering management system for agricultural machines, which can contribute to the efficiency of field operations. Keywords: Agricultural vehicle, Headland turn automation, Maneuverability, Modeling, Path generation, Path planning, Poly-articulated vehicle.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 43563-43574 ◽  
Author(s):  
Carla Taramasco ◽  
Tomas Rodenas ◽  
Felipe Martinez ◽  
Paola Fuentes ◽  
Roberto Munoz ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1999 ◽  
Author(s):  
Jihua Fu ◽  
Zhitao Li ◽  
Hao Meng ◽  
Jianjun Wang ◽  
Xinjian Shan

Earthquake Early Warning (EEW) was proved to be a potential means of disaster reduction. Unfortunately, the performance of the EEW system is largely determined by the density of EEW network. How to reduce the cost of sensors has become an urgent problem for building a dense EEW. A low-cost seismic sensor integrated with a Class C MEMS accelerometer was proposed in this paper. Based on minimal structure design, the sensor’s reliability was enhanced, while the costs were cut down as well. To fully reveal the performance, ten of the seismic sensors were installed and tested in Sichuan Province, southwest of China from May 2018 to February 2019. The seismic records obtained by the MNSMSs were compared with those by the traditional strong motion seismographs. The records obtained by the MNSMSs have good consistency with the data obtained by the Etnas. The MNSMSs can obtain clear seismic phases that are enough to trigger earthquake detections for EEW. By noise analysis, different channels of the same sensor and different sensors have good consistency. The tested dynamic range (over 87 dB) and useful resolution (over 14.5 bits) are completely in conformity with the designed parameters. Through real field testing, small earthquakes (M 3.1–3.6) can be detected by all three components E-W, N-S, and U-D within 50 km. In all, the low-cost seismic sensor proposed as a high-performance Class C MEMS sensor can meet the needs of dense EEW in terms of noise, dynamic range, useful resolution, reliability, and detecting capabilities.


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