2011
DOI: 10.1016/j.gaitpost.2011.06.019
|View full text |Cite
|
Sign up to set email alerts
|

Ambulatory running speed estimation using an inertial sensor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
32
0

Year Published

2012
2012
2020
2020

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 39 publications
(36 citation statements)
references
References 20 publications
(28 reference statements)
2
32
0
Order By: Relevance
“…Considering that the walking distance is associated with the stride length or running speed, similar precision was obtained for FW and SL compared with other inertial-based gait analysis system (Mariani et al, 2010;Yang et al, 2011). However estimation of walking distance for SR leave room for improvement.…”
Section: Discussionsupporting
confidence: 52%
“…Considering that the walking distance is associated with the stride length or running speed, similar precision was obtained for FW and SL compared with other inertial-based gait analysis system (Mariani et al, 2010;Yang et al, 2011). However estimation of walking distance for SR leave room for improvement.…”
Section: Discussionsupporting
confidence: 52%
“…Of the 38 articles included in this review 23 articles utilised accelerometers and/or gyroscopes during running gait to identify coach orientated kinematic parameters (See Table 1.2). 48 Bergamini et al 17 Bichler et al 18 Cooper et al 19 Hausswirth et al 11 Heiden et al 49 Le Bris et al 31 Lee et al 32 Lee et al 47 McCurdy et al 50 McGrath et al 13 Mercer et al 35 Mercer et al 36 Neville et al 51 Neville et al 52 O'Donovan et al 20 Purcell et al 53 Stohrmann et al 22 Stohrmann et al 21 Stohrmann et al 23 Tan et al 14 Wixted et al 54 Yang et al 15 Step/Stride Frequency…”
Section: Coach Orientated Kinematic Output Parametersmentioning
confidence: 99%
“…Other parameters identified are foot strike type 21,23 , heel lift 22,23 , running speed 11,15 , knee angle 19 , sprint time 50 and arm movement, trunk forward lean and shoulder rotation 23 . Although measurements such as angle derivation and speed may not be commonly identified using accelerometers and/or gyroscopes this information does provide insight into advancing capabilities of these low cost transducers whilst also providing support for their validity within this research.…”
Section: Various Remaining Parametersmentioning
confidence: 99%
“…A second class of motion monitoring and activity classification devices is characterized by the use of accelerometers [15]- [22]. An accelerometer-based device comprises a motion sensor that senses each foot-strike and a processing unit with ad-hoc algorithms that extracts from the measured accelerations the information needed to estimate speed and pace.…”
Section: Introductionmentioning
confidence: 99%
“…The main advantage of such devices is that they are small, inexpensive and their power consumption is very low when compared to GPS systems (typically less than 40uA @100Hz) while providing an acceptable accuracy. The sensor can be placed either in shoes (foot pod), on the ankle, in chest-belts or at the wrist [15]- [17]. The wrist location is very attractive due to its ease of device placement and access to control actuators, opportunity for display and viewing of information, and the possibility to include other familiar health monitoring functions such heart rate.…”
Section: Introductionmentioning
confidence: 99%