Research and Application Progress of Intelligent Wearable Devices

Liu, Feng; Han, Jinglong; Qi, Ji; Yu, Jialuo; Li, Wenpeng; Dong, Lin; Chen, Lingxin; Li, Bowei

doi:10.1016/s1872-2040(20)60076-7

Cited by 31 publications

(10 citation statements)

References 128 publications

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“…e data acquired by wearing the head sensor have the best classification detection accuracy and outstanding impact detection capabilities when compared to data produced by hip and wrist sensors [10,11]. People wear different sorts of sensor nodes, which are equipped with various types of sensors, such as acceleration, temperature, sound, and light, in a wearable sensor network made of active sensor devices [12].…”

Section: Dynamic Monitoring Methods Of Physicalmentioning

confidence: 99%

Dynamic Monitoring Method of Physical Training Intensity Based on Wearable Sensors

Huang²,

Ren³

et al. 2022

Mathematical Problems in Engineering

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Physical training data are greatly affected by the human movement state, and the current monitoring method has the problem of low accuracy. A dynamic monitoring method of physical training intensity is designed based on the wearable sensor. The wearable sensor network is established, the quaternion is transformed into the corresponding Euler angle, and the measurement of the sensor is transformed into the human body coordinate system. In the process of human motion reconstruction, the human motion state parameters are estimated based on the wearable sensor data, the parameter eigenvalues are extracted, and the decision tree classification algorithm is used to identify the physical training state. According to the classification results, the dynamic monitoring model of three-dimensional energy training intensity is established, and the numerical index of training intensity is obtained. In terms of various physical training items, the average monitoring accuracy of the dynamic monitoring method of physical training intensity based on the wearable sensor is 97.12%, which is 3.70%, 4.59%, and 5.04% higher than the methods based on reflected interframe image, median average filtering algorithm, and Internet of Things technology, respectively, so as to realize the accurate monitoring of sports state.

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Section: Dynamic Monitoring Methods Of Physicalmentioning

confidence: 99%

Dynamic Monitoring Method of Physical Training Intensity Based on Wearable Sensors

Huang²,

Ren³

et al. 2022

Mathematical Problems in Engineering

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“…Several main aspects can be considered: (1) combining MIR-FL nanosensors with miniaturized readout devices such as test strips, microarrays, smartphone and prototype electronic devices to expand their applications in POCT; (2) in-depth study of portable devices based on MIR-FL sensors and their development into practical commercialization rather than proof-of-concept demonstrations; (3) design of MIR-FL sensors with high throughput analysis to meet the growing demand for testing (development of new imprinting techniques can prepare superior MIPs materials with high capacity and selectivity); (4) exploration of large-scale synthetic routes to facilitate the commercialization of MIR-FL sensor products, as well as high sensitivity and large detection capacity, which are other common requirements of the sensor industry; (5) development of commercialized handheld instruments and wearable devices. 42 MIR-FL nanosensors should be utilized to analyze more kinds of targets, especially viruses and bacteria. Such a nanosensor is a good alternative for rapid detection of bacterial activity and mycotoxins, which is basically the same as that of ultrahigh sensitivity liquid chromatography detection, showing the advantages of accuracy, reliability, and simplicity.…”

Section: Fusion Of Various Technologies For Sensor Constructionmentioning

confidence: 99%

“…In-situ rapid detection is essential and urgently required in many fields such as environmental monitoring and food safety. Several main aspects can be considered: (1) combining MIR-FL nanosensors with miniaturized readout devices such as test strips, microarrays, smartphone and prototype electronic devices to expand their applications in POCT; (2) in-depth study of portable devices based on MIR-FL sensors and their development into practical commercialization rather than proof-of-concept demonstrations; (3) design of MIR-FL sensors with high throughput analysis to meet the growing demand for testing (development of new imprinting techniques can prepare superior MIPs materials with high capacity and selectivity); (4) exploration of large-scale synthetic routes to facilitate the commercialization of MIR-FL sensor products, as well as high sensitivity and large detection capacity, which are other common requirements of the sensor industry; (5) development of commercialized hand-held instruments and wearable devices …”

Section: Challenges and Perspectivesmentioning

confidence: 99%

Molecularly Imprinted Ratiometric Fluorescence Nanosensors

Sun

2022

Langmuir

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Molecularly imprinted ratiometric fluorescence (MIR-FL) nanosensors feature recognition selectivity, detection sensitivity, application universality, visualization accuracy, and device portability, and have gained popularity. However, the fluorescence intensity, nanostructure, color range, and practical application of the sensor still face severe difficulties to be solved. New strategies combined with various technologies have been developed to construct MIR-FL nanosensors for expanded applications. This Perspective highlights current resarch challenges and future prospects involving constructions and applications of MIR-FL nanosensors including dual-emission and triple-emission modes. The postimprinting mixing/ modification strategies, microdevices, and multitarget detection are focused, and technology synergy, sensitivity/reproducibility improvement, application diversity/portability, etc. are proposed.

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“…The inverse identification of the model is to find PΛ-1 so that e(k) is minimized under some error criterion. Neural network-based system identification can better solve this problem [3] . The BP Network is a common network template for reverse system identification.…”

Section: Analysis In Practical Applicationsmentioning

confidence: 99%

Smart Wellness Wearable Devices

Ding¹,

Chen²

2022

Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange（ICLACE 2022)

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Purpose: With the implementation of the "Healthy China" strategy, it is widely acknowledged that the cognitive thinking about the health of people has been influenced by many complex factors of the complex system, and gradually shifted to the disease recovery index as the measurement standard. Starting from the new growth point of health design in design science, the innovative design of intelligent recreation wearable devices has been adopted to optimize the user's recreation experience from the product and service design dimension on the basis of interdisciplinary design innovation. Approaches: Standing on the theoretical basis of functional electrical stimulation technology FES, this paper proposes a design of a smart rehabilitation wearable device that does not restrict the use of scenarios, is more inclusive of patient attributes and is uncomplicated to operate with the function of monitoring muscle vitality parameters and assisting training, on the basis of market research and analysis of the needs of patients with upper limb exoskeletal muscle disorders and smart rehabilitation devices. Additionally, the system utilizes the program embedded in the chip to analyze the training content that matches the individual patient's differentiation and the corresponding current stimulation training and takes the advantage of the neural network analysis method to give the performance evaluation and result in an analysis of this intelligent monitoring and assistive device in practical application. Results: After the practice and evaluation of the patient experience and training effect of the product, it demonstrates that the functional electrical stimulation intelligent rehabilitation equipment has a positive effect on the muscle rehabilitation training of the upper limb exoskeletal functional disorder patient group, and also proves that as long as the training intensity and the individual program from time to time are suitable for the corresponding patients, it is possible to achieve the therapeutic effect. Conclusion: A healthy social system and a way of life that fits the diverse leisure demands of people that using a smart portable leisure device as a design medium for a humanistic return has been created.

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Research and Application Progress of Intelligent Wearable Devices

Cited by 31 publications

References 128 publications

Dynamic Monitoring Method of Physical Training Intensity Based on Wearable Sensors

Dynamic Monitoring Method of Physical Training Intensity Based on Wearable Sensors

Molecularly Imprinted Ratiometric Fluorescence Nanosensors

Smart Wellness Wearable Devices

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