imu sensors Search Results


90
OpenSim Ltd imu sensor
Imu Sensor, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imu sensor/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
imu sensor - by Bioz Stars, 2026-06
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90
Hocoma Inc imu sensor valedomotion
Imu Sensor Valedomotion, supplied by Hocoma Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imu sensor valedomotion/product/Hocoma Inc
Average 90 stars, based on 1 article reviews
imu sensor valedomotion - by Bioz Stars, 2026-06
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90
Interacoustics AS inertial measurement unit (imu) sensor
Inertial Measurement Unit (Imu) Sensor, supplied by Interacoustics AS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/inertial measurement unit (imu) sensor/product/Interacoustics AS
Average 90 stars, based on 1 article reviews
inertial measurement unit (imu) sensor - by Bioz Stars, 2026-06
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90
APDM Wearable Technologies imu system with six sensors opaltm
Imu System With Six Sensors Opaltm, supplied by APDM Wearable Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imu system with six sensors opaltm/product/APDM Wearable Technologies
Average 90 stars, based on 1 article reviews
imu system with six sensors opaltm - by Bioz Stars, 2026-06
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90
Applanix Corporation gps-aided inertial navigation (gin) unit
Gps Aided Inertial Navigation (Gin) Unit, supplied by Applanix Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gps-aided inertial navigation (gin) unit/product/Applanix Corporation
Average 90 stars, based on 1 article reviews
gps-aided inertial navigation (gin) unit - by Bioz Stars, 2026-06
90/100 stars
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90
APDM Wearable Technologies opal imu sensors
Opal Imu Sensors, supplied by APDM Wearable Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/opal imu sensors/product/APDM Wearable Technologies
Average 90 stars, based on 1 article reviews
opal imu sensors - by Bioz Stars, 2026-06
90/100 stars
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90
Tobii AB head-mounted eye tracker integrated imu sensor
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
Head Mounted Eye Tracker Integrated Imu Sensor, supplied by Tobii AB, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/head-mounted eye tracker integrated imu sensor/product/Tobii AB
Average 90 stars, based on 1 article reviews
head-mounted eye tracker integrated imu sensor - by Bioz Stars, 2026-06
90/100 stars
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90
MBIENTLAB Inc 6-axis wireless imu sensor
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
6 Axis Wireless Imu Sensor, supplied by MBIENTLAB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/6-axis wireless imu sensor/product/MBIENTLAB Inc
Average 90 stars, based on 1 article reviews
6-axis wireless imu sensor - by Bioz Stars, 2026-06
90/100 stars
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90
MOCAP Inc imu mocap sensors
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
Imu Mocap Sensors, supplied by MOCAP Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imu mocap sensors/product/MOCAP Inc
Average 90 stars, based on 1 article reviews
imu mocap sensors - by Bioz Stars, 2026-06
90/100 stars
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90
Intersense Inc intersense sensor
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
Intersense Sensor, supplied by Intersense Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/intersense sensor/product/Intersense Inc
Average 90 stars, based on 1 article reviews
intersense sensor - by Bioz Stars, 2026-06
90/100 stars
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90
MicroStrain Inc inertia-link-2400-ski
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
Inertia Link 2400 Ski, supplied by MicroStrain Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/inertia-link-2400-ski/product/MicroStrain Inc
Average 90 stars, based on 1 article reviews
inertia-link-2400-ski - by Bioz Stars, 2026-06
90/100 stars
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90
Racelogic Ltd imu sensor
(A) Top: Head tilt was measured using the <t>IMU</t> <t>sensor</t> attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.
Imu Sensor, supplied by Racelogic Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imu sensor/product/Racelogic Ltd
Average 90 stars, based on 1 article reviews
imu sensor - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


(A) Top: Head tilt was measured using the IMU sensor attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.

Journal: bioRxiv

Article Title: Two distinct types of eye-head coupling in freely moving mice

doi: 10.1101/2020.02.20.957712

Figure Lengend Snippet: (A) Top: Head tilt was measured using the IMU sensor attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.

Article Snippet: For the experiments in freely moving humans, eye position and head motion were recorded using a commercially-available head-mounted eye tracker with integrated IMU sensor (Tobii Pro Glasses 2, Tobii Pro, Sweden).

Techniques: