“Are You with Me?” – Using Accelerometers to Determine If Two Devices Are Carried by the Same Person

Lester, Jonathan; Hannaford, Blake; Borriello, Gaetano

doi:10.1007/978-3-540-24646-6_3

Cited by 151 publications

(136 citation statements)

References 11 publications

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“…The drawback of this technique was lacking of authentication of the involved devices in the interaction. Another closely related work included accelerometer based analysis to determine whether the devices are carried by the same person or not [7]. The feature extraction algorithms used in [5] includes coherence measure, which was originally introduced in [7], and quantized FFT coefficients.…”

Section: Related Workmentioning

confidence: 99%

ShakeMe: Key Generation from Shared Motion

Yuzuguzel

Niemi

Kıranyaz

et al. 2015

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable,

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Abstract-Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. Deriving a shared secret (key) from shared motion, e.g. for device pairing, is an obvious application for this. Only the keys need to be exchanged between the peers and neither the motion data nor the features extracted from it. This makes the pairing fast and easy. For this, each device generates an information signal (key) independently of each other and, in order to pair, they should be identical. The key is essentially derived by quantizing certain well discriminative features extracted from the accelerometer data after an implicit synchronization. In this paper, we aim at finding a small set of effective features which enable a significantly simpler quantization procedure than the prior art. Our tentative results with authentic accelerometer data show that this is possible with a competent accuracy (76%) and key strength (entropy approximately 15 bits).

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Section: Related Workmentioning

confidence: 99%

ShakeMe: Key Generation from Shared Motion

Yuzuguzel

Niemi

Kıranyaz

et al. 2015

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable,

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“…The work by Lester et al [17] uses motion sensors to determine whether two objects are carried by the same person by exploiting the periodic nature of human walking. This makes correlation in the frequency domain possible, reducing the effect of communication latencies and avoiding the need for precise synchronization.…”

Section: Related Workmentioning

confidence: 99%

A study on automatic recognition of object use exploiting motion correlation of wireless sensors

Bosch

Marin-Perianu

Havinga

et al. 2011

Pers Ubiquit Comput

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An essential component in the ubiquitous computing vision is the ability of detecting with which objects the user is interacting during his or her activities. We explore in this paper a solution to this problem based on wireless motion and orientation sensors (accelerometer and compass) worn by the user and attached to objects. We evaluate the performance in realistic conditions, characterized by limited hardware resources, measurement noise due to motion artifacts and unreliable wireless communication. We describe the complete solution, from the theoretical design, going through simulation and tuning, to the full implementation and testing on wireless sensor nodes. The implementation on sensor nodes is lightweight, with low communication bandwidth and processing needs. Compared to existing work, our approach achieves better performance (higher detection accuracy and faster response times), while being much more computationally efficient. The potential of the concept is further illustrated by means of an interactive multi-user game. We also provide a thorough discussion of the advantages, limitations and trade-offs of the proposed solution.

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“…Also, this does not scale well. The three related schemes are Are You With Me [20], Smart-Its Friends [17] and [22].…”

Section: Related Workmentioning

confidence: 99%

Multichannel Protocols for User-Friendly and Scalable Initialization of Sensor Networks

Perković

Stančić

Malisa

et al. 2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. We consider the classical problem of establishing initial security associations in wireless sensor networks. More specifically, we focus on pre-deployment phase in which sensor nodes have not yet been loaded with shared secrets or other forms of authentic information.In this paper, we propose two novel multichannel protocols for initialization of large scale wireless sensor networks. The first protocol uses only secret key cryptography and is suitable for CPU-constrained sensor nodes. The second protocol is based on public key cryptography. Both protocols involve communication over a bidirectional radio channel and an unidirectional out-of-band visible light channel. A notable feature of the proposed "public key"-based key deployment protocol is that it is designed to be secure in a very strong attacker model, where an attacker can eavesdrop, jam and modify transmitted messages by adding his own message to both a radio and a visible light channel; the attacker however cannot disable the visible light communication channel. We show that many existing protocols that rely on the visible light channel are insecure in this strong adversary model.We implemented the proposed protocols on the Meshnetics wireless sensor platform. The proposed protocols are cheap to implement, secure in the very strong attacker model, easy to use and scalable. We also designed and tested a simple random number generator suitable for sensor platforms.

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“Are You with Me?” – Using Accelerometers to Determine If Two Devices Are Carried by the Same Person

Cited by 151 publications

References 11 publications

ShakeMe: Key Generation from Shared Motion

ShakeMe: Key Generation from Shared Motion

A study on automatic recognition of object use exploiting motion correlation of wireless sensors

Multichannel Protocols for User-Friendly and Scalable Initialization of Sensor Networks

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