Modeling signal strength of body-worn devices

Kurusingal, Alexander; Dhamdhere, Ashay; Sivaraman, Vijay

doi:10.1109/lcn.2010.5735712

Cited by 5 publications

(5 citation statements)

References 8 publications

(14 reference statements)

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“…Our experiments, profiling and modelling of the connectivity are described in detail in [4]. Further, as we show in [5], the attenuation caused by the human body results in significant asymmetry in wireless range on the two sides of the body (with the Mote mounted on the right arm we see a range of up to 16m on the right, as opposed to only 3m on the left). The experimental data sets the stage for the routing protocols to be presented herein.…”

Section: Methodsmentioning

confidence: 85%

Experiments with wireless sensor networks for real-time athlete monitoring

Dhamdhere

Chen

Kurusingal

et al. 2010

IEEE Local Computer Network Conference

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Abstract-Real-time physiological monitoring of athletes during sporting events has tremendous potential for maximizing player performance while preventing burn-out and injury, and also enabling exciting new applications such as referee-assist services and enhanced television broadcast. Emerging advanced monitoring devices have the right combination of light weight and unobtrusive size to allow truly non-intrusive monitoring during competition. However their small battery capacities, limited wireless ranges and susceptibility to body effects make real-time data extraction a challenge, particularly in sports with a large playing area. In this work we present the novel application of body area sensor networks to monitoring soccer players in a soccer field. We begin by outlining the challenges in experimental data collection and elaborate on the design choices we have made. Secondly, we show that the inherent characteristics of the operating environment lead to unacceptably high delays for direct transmissions from the players to the base stations. This leads to our third contribution, namely a multi-hop routing protocol that balances between the competing objectives of resource consumption and delay.

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Section: Methodsmentioning

confidence: 85%

Experiments with wireless sensor networks for real-time athlete monitoring

Dhamdhere

Chen

Kurusingal

et al. 2010

IEEE Local Computer Network Conference

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“…In a contrary manner, emerging body-area devices such as the Toumaz Sensium digital plasters have the form factor of a band-aid, thus well-suited for such applications. However the small form factor necessitates tiny batteries, which correspondingly reduces the communication range and makes data acquisition challenging [4].…”

Section: A Mid/long Range Off Body Communicationsmentioning

confidence: 99%

“…Investigators in [4] have conducted experiments to profile the propagation of wireless signals around the body in an open soccer field. To this end, they equip each soccer player in the squad with a MicaZ mote mounted on the player's right arm.…”

Section: A Mid/long Range Off Body Communicationsmentioning

confidence: 99%

“…The incorporation of body-wearable sensor networks in sports medicine applications as well as athletic performance monitoring is emerging and opens a wide range of possibilities; athletes in different sports can greatly benefit from long/mid/short-range wireless feedback systems to improve the quality of their training. By 2014, 420 million wearable wireless devices are expected to be in use, of which 90% will be intended for sports and fitness applications [4]. Likewise, such systems can provide preventive, diagnostic, therapeutic and rehabilitative benefits through applying medical and scientific knowledge to prevent, recognize, manage, and rehabilitate injuries related to sports, exercise, or recreational activities.…”

Section: Introductionmentioning

confidence: 99%

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Experimental analysis of IEEE 802.15.4 for on/off body communications

Amini¹,

Xu²,

Li³

et al. 2011

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

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We target body-wearable sensor networks, in which sensor nodes are strategically placed on the human body and the wireless communications are conducted on/off the surface of the body. The results, obtained by performing multiple experiments in outdoor environments, are presented. A single on body transmitter communicates with a single receiver node, which is located on the body or off the body at various distances. Sensor nodes utilized in our experiments are equipped with XBee and XBee Pro wireless modules for on body and off body communications, respectively. The focus of our work is to observe how the Received Signal Strength (RSS) and the Packet Reception Rate (PRR) vary as we change the communication distance and transmission power level. Our experimental results can be used to perform transmission power control with high precision in order not to exceed a certain packet error rate.

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“…Taking into consideration aspects such as attenuation of the wireless signal by the body, ease and stability of attachment, and possibility of damage to the device itself, we decided to go with an arm mounted attachment using an arm-band. We conducted experiments to profile the propagation of wireless signals around the athlete in an open field (see our paper [14] for a detailed study), and show in Fig. 1 a contour map of the received signal strength (RSSI) at various distances and directions from the body-mounted mote device, which transmits data every second at the highest available power level of 1mW.…”

Section: A Mounting the Device On The Bodymentioning

confidence: 99%

Experimental study of mobility in the soccer field with application to real-time athlete monitoring

Sivaraman

Grover

Kurusingal

et al. 2010

2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications

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Abstract-Live monitoring of athletes during sporting events can help maximise performance while preventing injury, and enable new applications such as referee-assist and enhanced television broadcast services. A major challenge is the extraction of athlete physiological data in real-time, since the radio range of body-worn sensor devices is limited, necessitating multi-hop routing mechanisms. However, little is known about the highly dynamic operating conditions on a soccer field under which communication protocols need to operate.In this work we conduct field experiments in which we outfit first-division soccer players with sensor devices and record their inter-connectivity during a real game. Our first contribution profiles the key properties of the dynamic wireless topologies arising in the soccer field, and highlights the consequences for routing mechanisms. We show that the topology is in general sparse, with short encounters and power-law distributed interencounters. Importantly, the co-ordinated movement of players in the field gives rise to significant correlations amongst links, an aspect that can potentially be exploited by routing. Our second contribution develops a model for generating synthetic topologies that mirror connectivity in a real soccer game, and can be used for simulation studies of routing mechanisms. Its novelty lies in explicitly modelling the underlying auto-correlation and cross-correlation properties of the links, from which derived measures such as inter-encounter times and neighbourhood distributions follow. Our study is an important first step towards understanding and modelling dynamic topologies associated with sports monitoring, and paves the way for the design of real-time routing algorithms for such environments.

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Modeling signal strength of body-worn devices

Cited by 5 publications

References 8 publications

Experiments with wireless sensor networks for real-time athlete monitoring

Experiments with wireless sensor networks for real-time athlete monitoring

Experimental analysis of IEEE 802.15.4 for on/off body communications

Experimental study of mobility in the soccer field with application to real-time athlete monitoring

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