2023
DOI: 10.1002/aisy.202300207
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A Review of Hand Gesture Recognition Systems Based on Noninvasive Wearable Sensors

Rayane Tchantchane,
Hao Zhou,
Shen Zhang
et al.

Abstract: Hand gesture, one of the essential ways for a human to convey information and express intuitive intention, has a significant degree of differentiation, substantial flexibility, and high robustness of information transmission to make hand gesture recognition (HGR) one of the research hotspots in the fields of human–human and human–computer or human–machine interactions. Noninvasive, on‐body sensors can monitor, track, and recognize hand gestures for various applications such as sign language recognition, rehabi… Show more

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Cited by 15 publications
(13 citation statements)
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References 180 publications
(215 reference statements)
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“…Regarding GES1, the agreement rates are overall moderate in magnitude (M =0.24, SD=0.157), ranging between 0.074 (low) for ''Turn assistant help off'' and 0.536 (very high) for ''Answer help phone Call''. On the global sampling, 5 19 =26% of the rates belong to the low consensus category, 9 19 =47% of the rates belong to the moderate range, 3 19 =16% are high, and 2 19 =10% are very high. Apart from a few exceptions, most gestures received an agreement rate slightly higher or close to those reported in the GES literature ( [76] that summarized agreement rates of 18 GESs).…”
Section: ) Agreement Ratementioning
confidence: 99%
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“…Regarding GES1, the agreement rates are overall moderate in magnitude (M =0.24, SD=0.157), ranging between 0.074 (low) for ''Turn assistant help off'' and 0.536 (very high) for ''Answer help phone Call''. On the global sampling, 5 19 =26% of the rates belong to the low consensus category, 9 19 =47% of the rates belong to the moderate range, 3 19 =16% are high, and 2 19 =10% are very high. Apart from a few exceptions, most gestures received an agreement rate slightly higher or close to those reported in the GES literature ( [76] that summarized agreement rates of 18 GESs).…”
Section: ) Agreement Ratementioning
confidence: 99%
“…• Number of sampling points (N ): represents the number of points per gesture template: N ={x ∈ N|4≤x≤40}. • Antenna pairs (AP): defines the set of antenna pairs from which the data were used: AP={ (1,2,3,6,8,9), (4,5,7,10,11,12), (1,2,3,4,5,6,7,8,9,10,11,12)}. These three sets demonstrated admissible results [26].…”
Section: ) Independent Variablesmentioning
confidence: 99%
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“…Gesture recognition uses a set of techniques that allow computers to recognize human gestures [ 16 , 17 , 18 ]. It has many potential applications, such as device control [ 19 , 20 ], interaction with virtual environments [ 21 ], and the real-time translation of sign language [ 22 , 23 , 24 ].…”
Section: Gesture Recognitionmentioning
confidence: 99%
“…Wearable tactile devices can provide a more natural and realistic touch sensation for the wearer and are used to improve immersion in virtual reality/augmented reality (VR/AR) systems [ 146 , 147 , 148 , 149 , 150 ]. The glove is the bridge connecting virtuality and reality, and is used to send real-time tactile-feedback information.…”
Section: Representative Applications Of Tactile Sensorsmentioning
confidence: 99%