MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition
Citations
249 citations
Additional excerpts
...Three new ACC features and a score-based sensor fusion scheme are designed to improve accuracy....
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148 citations
Cites background from "MEMS Accelerometer Based Nonspecifi..."
...An example of such an application is gesture recognition, which is used to answer a call when bringing the phone to one’s ear, or paging through a document by the wave of a hand [1, 2]....
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136 citations
Cites background from "MEMS Accelerometer Based Nonspecifi..."
...Some researchers even use accelerometer sensors, surface electromyography(SEMG) sensors [40], [37] and magnetic sensors [17] to recognize different gestures....
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126 citations
Cites methods from "MEMS Accelerometer Based Nonspecifi..."
...Our technique is different to existing work [3], [7]–[9], [16], [18], [19] in that it does not require a camera or dedicated sensors....
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...[3] presented gesture recognition models based on the input signals from 3-axes accelerometer sensors....
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122 citations
References
22,840 citations
18,802 citations
"MEMS Accelerometer Based Nonspecifi..." refers methods in this paper
...For sequential data such as measurement of time series and acoustic features at successive time frames used for speech recognition, HMM (Hidden Markov Model) is one of the most important models [16]....
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1,243 citations
512 citations
"MEMS Accelerometer Based Nonspecifi..." refers methods in this paper
...For sequential data such as measurement of time series and acoustic features at successive time frames used for speech recognition, HMM (Hidden Markov Model) is one of the most important models [16]....
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394 citations
"MEMS Accelerometer Based Nonspecifi..." refers methods in this paper
...Existing gesture recognition approaches include template-matching [11], dictionary lookup [12], statistical matching [13], linguistic matching [14], and neural network [15]....
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