Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices

Contreras-González, Aldo-Francisco; Ferré, Manuel; Sánchez-Urán, Miguel Ángel; Sáez-Sáez, Francisco Javier; Haro, Fernando Blaya

doi:10.3390/s20226452

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…FSR (force sensitive resistors) have been used for flex sensing and sensor fabric touch sensing [16][17][18]. For example, it has been used commercially for detecting flexure angles, however the component cost is prohibitive for consumer electronics (on the order of $40) [19].…”

Section: Related Work -Soft Touch Sensormentioning

confidence: 99%

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Soft Body Belt-Type Touch Sensor With Impact Resistance: A Study of Dynamic Behavior

2021

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We report the development of a novel soft body touch sensor capable of measuring contact force along its length. The sensor can be embedded in soft objects and on curved surfaces for smart furniture, interactive electronics, and general robotics applications. The sensor uses pneumatic transduction principle and achieves both high sensitivity and impact loading tolerance. The development is motivated by the needs of consumer electronics industries for smart embedded furniture and interactive toys. The current work fills a gap of existing soft-bodied touch sensors. The main sensor body is completely polymeric and contains no conductive or semiconducting material elements. It exhibits high pass frequency response to reject common mode contact forces or shape variations. The central question addressed by this paper is dynamic behavior of this sensor under normal and impact touch force. In this study we developed a theoretical model for the sensor output and validated with experimental measurements. We modeled sensor behavior under two operational regimes of different unloading speed. Depending on the rate of change, the sensor could be in force limited relaxation mode or elastic relaxation (free relaxation) mode. Measurements have been performed to capture time constants of occupant behavior in a smart cushion application.

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Section: Related Work -Soft Touch Sensormentioning

confidence: 99%

“…The device can cover curved surfaces and be used for human-computer interface through near-field capacitive touch interface. They operate in R mode [13], C mode [19] or mixed R-C mode [22].…”

Section: Related Work -Soft Touch Sensormentioning

confidence: 99%

Soft Body Belt-Type Touch Sensor With Impact Resistance: A Study of Dynamic Behavior

2021

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“…The capacitive sensors are made using layered medical grade silicone elastomers doped with conductive and nonconductive fillers. This study is a modified compilation of publication [163].…”

Section: Exhaustive Experiments Descriptionmentioning

confidence: 99%

Study of exoskeletons for upper limb rehabilitation

Contreras-González¹

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Concurrent validity of inertial measurement units in range of motion measurements of upper extremity: A systematic review and meta-analysis

Li,

Qiu,

Gan

et al. 2024

Wearable Technol.

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Inertial measurement units (IMUs) have proven to be valuable tools in measuring the range of motion (RoM) of human upper limb joints. Although several studies have reported on the validity of IMUs compared to the gold standard (optical motion capture system, OMC), a quantitative summary of the accuracy of IMUs in measuring RoM of upper limb joints is still lacking. Thus, the primary objective of this systematic review and meta-analysis was to determine the concurrent validity of IMUs for measuring RoM of the upper extremity in adults. Fifty-one articles were included in the systematic review, and data from 16 were pooled for meta-analysis. Concurrent validity is excellent for shoulder flexion–extension (Pearson’s r = 0.969 [0.935, 0.986], ICC = 0.935 [0.749, 0.984], mean difference = −3.19 (p = 0.55)), elbow flexion–extension (Pearson’s r = 0.954 [0.929, 0.970], ICC = 0.929 [0.814, 0.974], mean difference = 10.61 (p = 0.36)), wrist flexion–extension (Pearson’s r = 0.974 [0.945, 0.988], mean difference = −4.20 (p = 0.58)), good to excellent for shoulder abduction–adduction (Pearson’s r = 0.919 [0.848, 0.957], ICC = 0.840 [0.430, 0.963], mean difference = −7.10 (p = 0.50)), and elbow pronation–supination (Pearson’s r = 0.966 [0.939, 0.981], ICC = 0.821 [0.696, 0.900]). There are some inconsistent results for shoulder internal–external rotation (Pearson’s r = 0.939 [0.894, 0.965], mean difference = −9.13 (p < 0.0001)). In conclusion, the results support IMU as a viable instrument for measuring RoM of upper extremity, but for some specific joint movements, such as shoulder rotation and wrist ulnar-radial deviation, IMU measurements need to be used with caution.

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Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices

Cited by 5 publications

References 36 publications

Soft Body Belt-Type Touch Sensor With Impact Resistance: A Study of Dynamic Behavior

Soft Body Belt-Type Touch Sensor With Impact Resistance: A Study of Dynamic Behavior

Study of exoskeletons for upper limb rehabilitation

Concurrent validity of inertial measurement units in range of motion measurements of upper extremity: A systematic review and meta-analysis

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