Title | ||
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mm-Wave Radar Based Gesture Recognition: Development and Evaluation of a Low-Power, Low-Complexity System. |
Abstract | ||
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Gesture recognition is gaining attention as an attractive feature for the development of ubiquitous, context-aware, IoT applications. Use of radars as a primary or secondary system is tempting, as they can operate in darkness, high light intensity environments, and longer distances than many competitor systems. Starting from this observation, we present a generic, low-cost, mm-wave radar-based gesture recognition system. Among potential benefits of mm-wave radars are a high spatial resolution due to small wavelength, the availability of multiple antennas in a small area and the low interference due to the natural attenuation of mm-wave radiation. We experimentally evaluate our COTS solution considering eight different gestures and using two low-complexity classification algorithms: the unsupervised Self Organized Map (SOM) and the supervised Learning Vector Quantization (LVQ). To test robustness, we consider gestures performed by a human hand and a human body, at short and long distance. From our preliminary evaluations, we observe that LVQ and SOM correctly detect 75% and 60% of all gestures, respectively, from the raw, unprocessed data. The detection rate is significantly higher (>90%) for selected gesture groups. We argue that performance suffers due to inaccurate AoA estimation. Accordingly, we evaluate our system employing a two-radar setup that increases the estimation accuracy by 8-9%.
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Year | DOI | Venue |
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2018 | 10.1145/3264492.3264501 | MobiCom '18: The 24th Annual International Conference on Mobile Computing and Networking
New Delhi
India
October, 2018 |
Keywords | DocType | ISBN |
mm-wave, Radar, Gesture Recognition, Machine Learning | Conference | 978-1-4503-5928-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Avishek Patra | 1 | 12 | 2.33 |
Philipp Geuer | 2 | 0 | 0.34 |
Andrea Munari | 3 | 128 | 23.33 |
Petri Mähönen | 4 | 1610 | 150.99 |