Tactile and Vision Perception for Intelligent Humanoids

Gao, Shuo; Dai, Yanning; Nathan, Arokia

doi:10.1002/aisy.202100074

Cited by 26 publications

(27 citation statements)

References 131 publications

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“…The advantage of the piezoresistive sensor is its simple structure and affordability, but it suffers from heating issues and high hysteresis [ 33 ].…”

Section: Data Acquisitionmentioning

confidence: 99%

“…By measuring its voltage, the magnitude of the pressure can be obtained. Common piezoelectric materials can be divided into ceramics, films, and fibers [ 33 ].…”

Section: Data Acquisitionmentioning

confidence: 99%

“…According to Fujiwara, this sensor has very excellent performance, with a sensitivity of 0.05 N and a large range of 0–22 N. At the same time, the sensor has excellent linearity between the normalized light intensity and static pressure in static force measurement (the correlation coefficient is 0.98). Compared with piezoresistive sensors, fiber optic sensors have smaller linear errors and lower latency, but higher energy consumption and lower spatial resolution [ 33 ].…”

Section: Data Acquisitionmentioning

confidence: 99%

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A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

Zheng

Zhao

et al. 2022

Biosensors

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Wearables developed for human body signal detection receive increasing attention in the current decade. Compared to implantable sensors, wearables are more focused on body motion detection, which can support human–machine interaction (HMI) and biomedical applications. In wearables, electromyography (EMG)-, force myography (FMG)-, and electrical impedance tomography (EIT)-based body information monitoring technologies are broadly presented. In the literature, all of them have been adopted for many similar application scenarios, which easily confuses researchers when they start to explore the area. Hence, in this article, we review the three technologies in detail, from basics including working principles, device architectures, interpretation algorithms, application examples, merits and drawbacks, to state-of-the-art works, challenges remaining to be solved and the outlook of the field. We believe the content in this paper could help readers create a whole image of designing and applying the three technologies in relevant scenarios.

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“…The advantage of the piezoresistive sensor is its simple structure and affordability, but it suffers from heating issues and high hysteresis [ 33 ].…”

Section: Data Acquisitionmentioning

confidence: 99%

“…By measuring its voltage, the magnitude of the pressure can be obtained. Common piezoelectric materials can be divided into ceramics, films, and fibers [ 33 ].…”

Section: Data Acquisitionmentioning

confidence: 99%

Section: Data Acquisitionmentioning

confidence: 99%

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A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

Zheng

Zhao

et al. 2022

Biosensors

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show abstract

“…Hence, computer-assistive interactive (CAI) techniques are developed for making both ALS patients' life and releasing their mental pain convenience. [4][5][6] Among diverse CAI systems, eye-tracking-based architectures are broadly welcomed, owing to their merits of noninvasive, cost effective, and high accuracy; [7,8] meanwhile eye movement is one of the last losing muscle control functions supported by the ALS patients, indicating that eye trackers can accompany with patients for a longer period than other techniques. [9][10][11][12] Fruitful results of eye-tracking-based CAI systems for ALS patients have been obtained.…”

Section: Introductionmentioning

confidence: 99%

A Visual Feedback Supported Intelligent Assistive Technique for Amyotrophic Lateral Sclerosis Patients

Wang

Zhang

Xia

et al. 2021

Advanced Intelligent Systems

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Among diverse intelligent assistive systems developed for amyotrophic lateral sclerosis (ALS) patients, headwear eye tracking based ones trigger broad interests due to their merits such as noninvasive, cost effective, and high operation freedom. However, with headwear eye trackers, patients are easy to feel tired during human–machine interactivities (HMIs), and the operation accuracy is not satisfied compared with its counterparts. To address these two issues, herein, a visual feedback technique is developed which allows users to recognize machine's vision by positioning a laser spot to the user watched object, according to the location information interpreted from user's eye movement. Through the visual feedback technique, users not only obtain real‐time feedback, but also can fine‐tune the laser spot to the desired location before performing further operations. Experimental results demonstrate that the presented work can successfully reduce user's fatigue and boost operation accuracy by 25.1% and 27.6%, respectively, therefore, advancing the field of intelligent assistive technologies.

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“…

humanoids, [8] rehabilitation devices, [9] and augmented and virtual reality. [10] The advent of the Internet of actions (IoA) is accelerating the mechanosensory revolution.

…”

mentioning

confidence: 99%

Ultra‐Low‐Cost, Crosstalk‐Free, Fast‐Responding, Wide‐Sensing‐Range Tactile Fingertip Sensor for Smart Gloves

Sinha

Goh

Yeong

et al. 2022

Adv Materials Inter

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humanoids, [8] rehabilitation devices, [9] and augmented and virtual reality. [10] The advent of the Internet of actions (IoA) is accelerating the mechanosensory revolution. [11][12][13][14][15] This is because mechanosensation is believed to be the core of it. Over the last few years, various types of mechanical tactile sensors have been fabricated to emulate the functions of mechanoreceptors found in human skin. Based on the underlying sensing principle, they can be classified as resistive, [16][17][18][19][20][21] capacitive, [22][23][24][25] inductive, [26][27][28] piezoelectric, [29][30][31] and optical types. [32][33][34] Resistive type mechanical tactile sensors, in particular, have some advantages, including low cost, good durability, and a simple structure. [35] However, current limitations of these sensors include small pressure measurement range, slow response time, and high hysteresis. The majority of reported resistive tactile pressure sensors have a high sensitivity at low pressures (less than 10 kPa), allowing for ultra-sensitive detection. [36][37][38][39][40][41] However, in applications such as object manipulation pressures produced are more than 10 kPa. At high pressures (greater than 10 kPa), the sensitivity of these tactile sensors declines dramatically. The slow response time of these sensors (typically more than 30 ms) is also an issue when it comes to their practical usage. [25,35,40,41] Maintaining high sensitivity more than or comparable to human skin in a wide pressure range with a fast response time is required.Another critical issue that needs to be addressed with current skin-inspired sensors is how to achieve multi-point sensing capability, which is the simultaneous detection of touch at multiple different locations within a sensor. This necessitates a higher density of sensing nodes on the sensor. However, increasing the density of sensing nodes beyond a certain limit has drawbacks. First, it increases the number of interconnecting wires. These interconnecting wires restrict the motion of the robotic artifact because they can get entangled during motion. Second, it corrupts the sensor output signals because of crosstalk between the neighboring interconnects. [42] Array-type tactile sensor designs do solve the problem of interconnecting wires to some extent but crosstalk between the sensing nodes is still an issue with the majority of previously reported tactile sensors. [43,44] A possible solution to this problem is optimizing the density of sensing nodes and carefully planning the spatial distribution of these sensing nodes on the sensor.Skin-inspired sensors are all the rage in robotic applications. They take inspiration from the human skin's sensory abilities and use their abilities to sense things like temperature and pressure. Herein, fabrication of ultra-low-cost (<$1.5), ultra-thin, wide range, and crosstalk-free skin-inspired tactile sensors is presented. The sensors consist of piezoresistive pressure sensing elements sandwiched between 3D printed silver nanoparticle electr...

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Tactile and Vision Perception for Intelligent Humanoids

Cited by 26 publications

References 131 publications

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

A Visual Feedback Supported Intelligent Assistive Technique for Amyotrophic Lateral Sclerosis Patients

Ultra‐Low‐Cost, Crosstalk‐Free, Fast‐Responding, Wide‐Sensing‐Range Tactile Fingertip Sensor for Smart Gloves

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