Low-power sensor module for long-term activity monitoring

Leuenberger, Kaspar; Gassert, Roger

doi:10.1109/iembs.2011.6090424

Cited by 36 publications

(29 citation statements)

References 12 publications

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“…The sensor module can continuously record data for at least 24 h at a sampling rate of 50 Hz, and this time span can be doubled by means of an intelligent power management (Leuenberger & Gassert, 2011).…”

Section: Resensementioning

confidence: 99%

Measurement of human rotation behavior for psychological and neuropsychological investigations

et al. 2015

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The investigation of rotation behavior in human beings enjoys a longstanding and enduring interest in laterality research. While in animal studies the issue of accurately measuring the number of rotations has been solved and is widely applied in practice, it is still challenging to assess the rotation behavior of humans in daily life. We propose a robust method to assess human rotation behavior based on recordings from a miniature inertial measurement unit that can be worn unobtrusively on a belt. We investigate the effect of different combinations of low-cost sensors-including accelerometers, gyroscopes, and magnetometers-on rotation measurement accuracy, propose a simple calibration procedure, and validate the method on data from a predefined path through and around buildings. Results suggest that a rotation estimation based on the fusion of accelerometer, gyroscope, and magnetometer measurements outperforms methods based solely on earth magnetic field measurements, as proposed in previous studies, by a drop in error rate of up to 32 %. We further show that magnetometer signals do not significantly contribute to measurement accuracy in short-term measurements, and could thus be omitted for improved robustness in environments with magnetic field disturbances. Results also suggest that our simple calibration procedure can compete with more complex approaches and reduce the error rate of the proposed algorithm by up to 38 %. The investigation of rotation behavior in human beings enjoys a longstanding and enduring interest in laterality research. While, in animal studies, the issue of accurately measuring the number of rotations has been solved and is widely applied in practice, it is still challenging to assess the rotation behavior of humans in daily life. We propose a robust method to assess human rotation behavior based on recordings from a miniature inertial measurement unit that can be worn unobtrusively on a belt. We investigate the effect of different combinations of low-cost sensors -including accelerometers, gyroscopes and magnetometers -on rotation measurement accuracy, propose a simple calibration procedure, and validate the method on data from a predefined path through and around buildings. Results suggest that a rotation estimation based on the fusion of accelerometer, gyroscope and magnetometer measurements outperforms methods based solely on earth magnetic field measurements, as proposed in previous studies, by a drop in error rate of up to 32%. We further show that magnetometer signals do not significantly contribute to measurement accuracy in short-term measurements, and could thus be omitted for improved robustness in environments with magnetic field disturbances. Results also suggest that our simple calibration procedure can compete with more complex approaches and reduces the error rate of the proposed algorithm by up to 38%.

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Section: Resensementioning

confidence: 99%

Measurement of human rotation behavior for psychological and neuropsychological investigations

et al. 2015

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“…The foot sensors in Figure 1(b) are modified and each has an additional Resense [4] IMU attached at the heel for detecting the stance phase similar to the setup used in [7].…”

Section: Hardwarementioning

confidence: 99%

Tracking human locomotion by relative positional feet tracking

Zank

Nescher

Kunz

2015

2015 IEEE Virtual Reality (VR)

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Tracking human movements and locomotion accurately in real time -e.g. for providing real walking in virtual environments -requires expensive tracking systems which need a lot of time to install. Furthermore, the costs typically increase with the size of the tracked space as these systems rely on external references. This poster presents an approach to significantly reduce costs for tracking human locomotion in large, potentially unlimited tracking spaces.The proposed approach employs a low-cost user-worn position and orientation tracking system to track the position and orientation of limbs including the user's feet. To associate the relative limbs' movement within the user's local coordinate system with the absolute movement in a given environment, the feet stance phase is used. Whenever a foot enters the stance phase, the local position is locked onto the global position because the foot is not moving. This allows tracking a person with all locally tracked objects -e.g. limbs, head, etc. -by temporarily locking the absolute position alternately to the user's feet in a step by step manner. This tracking works continuously and in real time without any external references.

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“…In the next paragraphs, the main source of error will be analyzed and a new switching procedure is proposed. Our system consists of a Razer Hydra electromagnetic tracking system and two ReSense accelerometers (see [4]). The whole setup is shown in Figure 2.…”

Section: Contributionmentioning

confidence: 99%