Role of Wearables in Sports based on Activity recognition and biometric parameters: A Survey

Nithya, N.; Nallavan, G.

doi:10.1109/icais50930.2021.9395761

Cited by 19 publications

(8 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…X guo et al designed a system that can align the sensor reading from the wearable mobile device with the human coordinate system, and then evaluate the motion mode and posture [3] . N.NiTHYA et al describe the demonstration of wearable equipment in sports and effect [4] . Ding h et al, by adding a passive RFID tag, which is attached to the label, and collects the reflected scattering signals for field free weight activity recognition and evaluation [5] .…”

Section: Related Work 21 Target Trackingmentioning

confidence: 99%

PPT: pocket yoga personal training system

Zhu,

Zhang,

Sun

et al. 2023

Second International Conference on Electronic Information Technology (EIT 2023)

View full text Add to dashboard Cite

The full coverage of electronic products promotes the prevalence of human-computer interaction systems, especially in sports and fitness. Excellent human-computer interaction technology can bring high-quality experiences to human beings. However, the previous research focuses on the tracking of the wearable device and the radio frequency signal to the body part. This article will launch a lightweight, portable yoga private education system that can be mainly in line with coaches. A smartphone can realize real-time tracking of user body motion, combining the evaluation model feedback and valuable guidance. We predict the composition of the limb occlusion by the algorithm and use the segmentation to normalize the accurate calibration of the bone node. Improve the accuracy and robustness of the system while helping users achieve freedom and practical yoga training. The experimental results show that the system can provide meaningful feedback to the user in real-time by accurately assessing the user's yoga action, high accuracy.

show abstract

Section: Related Work 21 Target Trackingmentioning

confidence: 99%

PPT: pocket yoga personal training system

Zhu,

Zhang,

Sun

et al. 2023

Second International Conference on Electronic Information Technology (EIT 2023)

View full text Add to dashboard Cite

show abstract

“…The use of wearables in the field of sports mainly focuses on tracking, analysis and improvement of performance, reducing injuries or controlling fatigue. These solutions usually obtain information about the health parameters of athletes [ 6 ] or detect postural or physical problems in the performance of the activity [ 7 , 8 ]. However, to achieve these issues, most of the commercial devices only capture and provide tracking information and performance measurements that are processed later and downloaded and analysed by the athletes or their coaches.…”

Section: Introductionmentioning

confidence: 99%

“…However, to achieve these issues, most of the commercial devices only capture and provide tracking information and performance measurements that are processed later and downloaded and analysed by the athletes or their coaches. They are not used to give feedback in real-time since data are processed offline [ 6 ] and visualised by the user when the activity is over in order to understand how the training evolved, what problems arose during that practice, what she/he felt in some specific moments, and how that could affect their performance. It has been demonstrated that emotions have a significant impact on our daily lives, on our work, studies, choices or our ability to learn or make decisions.…”

Section: Introductionmentioning

confidence: 99%

“…In the sports field, wearables technologies are the devices most widely used for detecting emotions because of their ability to obtain data continuously, in real-time and in a non-invasive or intrusive way [ 6 ]. Despite the proven importance of emotions in sports performance, and the widespread use of wearables in sports, very few studies have analysed athletes’ emotions in real-time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wearables and Machine Learning for Improving Runners’ Motivation from an Affective Perspective

Baldassarri

Quirós

Baldassarri

2023

Sensors

View full text Add to dashboard Cite

Wearable technology is playing an increasing role in the development of user-centric applications. In the field of sports, this technology is being used to implement solutions that improve athletes’ performance, reduce the risk of injury, or control fatigue, for example. Emotions are involved in most of these solutions, but unfortunately, they are not monitored in real-time or used as a decision element that helps to increase the quality of training sessions, nor are they used to guarantee the health of athletes. In this paper, we present a wearable and a set of machine learning models that are able to deduce runners’ emotions during their training. The solution is based on the analysis of runners’ electrodermal activity, a physiological parameter widely used in the field of emotion recognition. As part of the DJ-Running project, we have used these emotions to increase runners’ motivation through music. It has required integrating the wearable and the models into the DJ-Running mobile application, which interacts with the technological infrastructure of the project to select and play the most suitable songs at each instant of the training.

show abstract

“…The target capacitive sensor considered in this work derives from the wearable platform for sweat-rate sensing sketched in Figure 1 . This device is intended to be used for activity tracking in sport applications, and it consists of (i) a flexible printed-circuit board (FPCB) layer, typically a polyimide film; (ii) a decorated elastometer layer, typically polydimethylsiloxane (PDMS), and (iii) an application-specific integrated circuit (ASIC) [ 18 , 19 , 20 , 21 ]. The fluidic pathway is then formed by sealing the two layers together and providing an inlet and an outlet, facing, respectively, the skin and the air.…”

Section: Introductionmentioning

confidence: 99%

Design of a Capacitance-to-Digital Converter Based on Iterative Delay-Chain Discharge in 180 nm CMOS Technology

Cicalini

Piotto

Bruschi

et al. 2021

Sensors

View full text Add to dashboard Cite

The design of advanced miniaturized ultra-low power interfaces for sensors is extremely important for energy-constrained monitoring applications, such as wearable, ingestible and implantable devices used in the health and medical field. Capacitive sensors, together with their correspondent digital-output readout interfaces, make no exception. Here, we analyse and design a capacitance-to-digital converter, based on the recently introduced iterative delay-chain discharge architecture, showing the circuit inner operating principles and the correspondent design trade-offs. A complete design case, implemented in a commercial 180 nm CMOS process, operating at 0.9 V supply for a 0–250 pF input capacitance range, is presented. The circuit, tested by means of detailed electrical simulations, shows ultra-low energy consumption (≤1.884 nJ/conversion), excellent linearity (linearity error 15.26 ppm), good robustness against process and temperature corners (conversion gain sensitivity to process corners variation of 114.0 ppm and maximum temperature sensitivity of 81.9 ppm/∘C in the −40 ∘C, +125 ∘C interval) and medium-low resolution of 10.3 effective number of bits, while using only 0.0192 mm2 of silicon area and employing 2.93 ms for a single conversion.

show abstract

Role of Wearables in Sports based on Activity recognition and biometric parameters: A Survey

Cited by 19 publications

References 47 publications

PPT: pocket yoga personal training system

PPT: pocket yoga personal training system

Wearables and Machine Learning for Improving Runners’ Motivation from an Affective Perspective

Design of a Capacitance-to-Digital Converter Based on Iterative Delay-Chain Discharge in 180 nm CMOS Technology

Contact Info

Product

Resources

About