Accurate Wireless Location/Communication System With 22-cm Error Using UWB-IR

Mizugaki, Kenichi; ujiwara, R.; Nakagawa, Tatsuo; Ono, Go; Norimatsu, Takayasu; Terada, Takahide; Miyazaki, Makoto; Ogata, Yuji; Maeki, Akira; Kobayashi, Shinsuke; Koshizuka, Noboru; Satoh, Ken

doi:10.1109/rws.2007.351866

Cited by 27 publications

(12 citation statements)

References 3 publications

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“…Devices that have been studied include IR tags (Want et al 1992), ultrasonic wave tags (Harter et al 1999), RFID tags (Amemiya et al 2004;Ni et al 2003), Wi-Fi (Bahl and Padmanabhan 2000), and UWB (Mizugaki et al 2007). If the device ID is registered with the system, the person carrying that specific device can be located and identified.…”

Section: Locating People By Using Wearable Sensorsmentioning

confidence: 99%

Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

Ikeda

Ishiguro

Miyashita

et al. 2013

J Ambient Intell Human Comput

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Providing personal and location-dependent services is one of the promising services in public spaces like a shopping mall. So far, sensors in the environment have reliably detected the current positions of humans, but it is difficult to identify people using these sensors. On the other hand, wearable devices can send their personal identity information, but precise position estimation remains problematic. In this paper, we propose a method of associating wearable accelerometers and foot tracking results using laser range finders in the environment. First we propose an association method based on signal correlation between biped foot and accelerometer. However, in crowded situations, sometimes only one foot of a pedestrian is observed because of occlusion. To cope with the problem, we propose a new evaluation function that focuses on the phase dependent correlation of cyclic walking behavior. Example results of tracking individuals in the environment confirm the effectiveness of this method.

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Section: Locating People By Using Wearable Sensorsmentioning

confidence: 99%

Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

Ikeda

Ishiguro

Miyashita

et al. 2013

J Ambient Intell Human Comput

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“…The second type is based on Time-Difference-Of-Arrival (TDOA) [4,5,6]. The third type is based on quasi-time difference of arrival [7]. In fact, the third type is the changed version of TDOA.…”

Section: The Structure Of the Ultra Wide-band Indoor Location Systemmentioning

confidence: 99%

Research on Ultra Wide-Band Indoor Location System

Chen

2012

2012 International Conference on Industrial Control and Electronics Engineering

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“…Accurate ranging measurement between communications devices is enabled because of the small-width impulse in the time domain [13]. The ranging data are valuable for some BAN applications.…”

Section: A Uwb-ir Transceiver Specificationsmentioning

confidence: 99%

Fully integrated UWB-IR CMOS transceiver for wireless body area networks

Nakagawa

Ono

Fujiwara

et al. 2009

2009 IEEE International Conference on Ultra-Wideband

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A fully integrated UWB-IR (ultra-wideband impulseradio) transceiver was developed for wireless body area networks. The transceiver includes all of the components required for the transceiver; a pulse generator and a power amplifier for a transmitter, an analog front-end circuit and analog-to-digital converters for a receiver, a base-band circuit, and a clock generator. The transmitter generates precisely shaped short impulses with a digitally controlled pulse generator. To reduce power consumption, analog circuits are operated intermittently. The most outstanding feature of the receiver is its low sampling frequency for reducing power consumption. The sampling frequency is as low as 32 MHz, which is the same value as the pulse repetition frequency. The prototype transceiver was fabricated in 0.18-μm CMOS process technology. The transmitter satisfies the Federal Communications Commission spectrum mask, and the transceiver achieves -77 and -68 dB sensitivity for 250 and 10 Mbps, respectively.

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Accurate Wireless Location/Communication System With 22-cm Error Using UWB-IR

Cited by 27 publications

References 3 publications

Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

Research on Ultra Wide-Band Indoor Location System

Fully integrated UWB-IR CMOS transceiver for wireless body area networks

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