• Something wrong with this record ?

Lower Limb Exoskeleton Sensors: State-of-the-Art

S. Neťuková, M. Bejtic, C. Malá, L. Horáková, P. Kutílek, J. Kauler, R. Krupička

. 2022 ; 22 (23) : . [pub] 20221123

Language English Country Switzerland

Document type Journal Article, Review

Due to the ever-increasing proportion of older people in the total population and the growing awareness of the importance of protecting workers against physical overload during long-time hard work, the idea of supporting exoskeletons progressed from high-tech fiction to almost commercialized products within the last six decades. Sensors, as part of the perception layer, play a crucial role in enhancing the functionality of exoskeletons by providing as accurate real-time data as possible to generate reliable input data for the control layer. The result of the processed sensor data is the information about current limb position, movement intension, and needed support. With the help of this review article, we want to clarify which criteria for sensors used in exoskeletons are important and how standard sensor types, such as kinematic and kinetic sensors, are used in lower limb exoskeletons. We also want to outline the possibilities and limitations of special medical signal sensors detecting, e.g., brain or muscle signals to improve data perception at the human-machine interface. A topic-based literature and product research was done to gain the best possible overview of the newest developments, research results, and products in the field. The paper provides an extensive overview of sensor criteria that need to be considered for the use of sensors in exoskeletons, as well as a collection of sensors and their placement used in current exoskeleton products. Additionally, the article points out several types of sensors detecting physiological or environmental signals that might be beneficial for future exoskeleton developments.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22032597
003      
CZ-PrNML
005      
20230131150803.0
007      
ta
008      
230120s2022 sz f 000 0|eng||
009      
AR
024    7_
$a 10.3390/s22239091 $2 doi
035    __
$a (PubMed)36501804
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sz
100    1_
$a Neťuková, Slávka $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/0000000203838787
245    10
$a Lower Limb Exoskeleton Sensors: State-of-the-Art / $c S. Neťuková, M. Bejtic, C. Malá, L. Horáková, P. Kutílek, J. Kauler, R. Krupička
520    9_
$a Due to the ever-increasing proportion of older people in the total population and the growing awareness of the importance of protecting workers against physical overload during long-time hard work, the idea of supporting exoskeletons progressed from high-tech fiction to almost commercialized products within the last six decades. Sensors, as part of the perception layer, play a crucial role in enhancing the functionality of exoskeletons by providing as accurate real-time data as possible to generate reliable input data for the control layer. The result of the processed sensor data is the information about current limb position, movement intension, and needed support. With the help of this review article, we want to clarify which criteria for sensors used in exoskeletons are important and how standard sensor types, such as kinematic and kinetic sensors, are used in lower limb exoskeletons. We also want to outline the possibilities and limitations of special medical signal sensors detecting, e.g., brain or muscle signals to improve data perception at the human-machine interface. A topic-based literature and product research was done to gain the best possible overview of the newest developments, research results, and products in the field. The paper provides an extensive overview of sensor criteria that need to be considered for the use of sensors in exoskeletons, as well as a collection of sensors and their placement used in current exoskeleton products. Additionally, the article points out several types of sensors detecting physiological or environmental signals that might be beneficial for future exoskeleton developments.
650    _2
$a lidé $7 D006801
650    _2
$a senioři $7 D000368
650    12
$a exoskeleton $7 D000067190
650    _2
$a dolní končetina $x fyziologie $7 D035002
650    _2
$a biomechanika $7 D001696
650    _2
$a pohyb $x fyziologie $7 D009068
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Bejtic, Martin $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
700    1_
$a Malá, Christiane $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/0000000154408712
700    1_
$a Horáková, Lucie $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
700    1_
$a Kutílek, Patrik $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
700    1_
$a Kauler, Jan $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
700    1_
$a Krupička, Radim $u Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/000000020280215X
773    0_
$w MED00008309 $t Sensors (Basel, Switzerland) $x 1424-8220 $g Roč. 22, č. 23 (2022)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/36501804 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20230120 $b ABA008
991    __
$a 20230131150759 $b ABA008
999    __
$a ok $b bmc $g 1891391 $s 1183932
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2022 $b 22 $c 23 $e 20221123 $i 1424-8220 $m Sensors $n Sensors Basel $x MED00008309
LZP    __
$a Pubmed-20230120

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...