Intelligent wearable heart rate sensor implementation for in-vehicle infotainment and assistance

Sinnapolu, Giribabu; Alawneh, Shadi

doi:10.1016/j.iot.2020.100277

Cited by 16 publications

(11 citation statements)

References 3 publications

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“…Marne et al (2016) demonstrated that future wearables would work with greater efficiency, accuracy, flexibility and enhanced privacy measures in order to carry out complex tasks. Previous researches have examined the applications of wearable technology across various fields: healthcare (Talukdar et al, 2019), forensic and clinical sciences (Ferreira et al, 2019), sports (Aroganam et al, 2019), biofeedback human skill-training (Shan, 2020), smart textiles (Mokhtari et al, 2020), infotainment (Sinnapolu & Alawneh, 2020), military and AR/VR industries (Vermetten et al, 2020), etc.…”

Section: Review Of Literaturementioning

confidence: 99%

Wearable Technology and Women Empowerment in the Technology Industry

Gupta

Sinha

2022

Journal of Information Technology Research

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The extant literature has significantly contributed towards the body of knowledge on wearable technology by exploring its potential for enhancing the well-being of consumers. Another strand of literature focuses on the challenges being faced by women in the wearables industry. This study has critically investigated the prevailing status of women in the gendered imbalance technology industry particularly the wearables industry. To elucidate this, the study has followed the qualitative approach by conducting an inductive-thematic analysis on the interviews of women achievers in the wearables industry. The findings revealed that the future of wearable technology seems bright in the following sectors: AR/VR and Artificial intelligence (AI) industries, Medical, sports and fitness sectors, Clothing and Jewellery industry, Military, and other industrial applications. However, it would be more promising if women employees and entrepreneurs are encouraged at all levels, and their roles are substantiated in the organizations by reducing challenges and appreciating them for their achievements.

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Section: Review Of Literaturementioning

confidence: 99%

Wearable Technology and Women Empowerment in the Technology Industry

Gupta

Sinha

2022

Journal of Information Technology Research

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“…In mHealth systems, they are used to record ECG, EMG, EEG, and electrooculogram (EOG) signals [ 47 , 48 , 49 ]. Heart-rate sensors : the most common technology used for implementing these sensors in mHealth systems is photoplethysmography [ 50 , 51 , 52 , 53 ]. A light beam (usually with the wavelength of red/infra-red light) is transmitted into the body (e.g., writs, finger, ear lobe, etc.)…”

Section: Evaluation Of Mhealth Systemsmentioning

confidence: 99%

A Blockchain-Enabled Framework for mHealth Systems

Ţarălungă

Florea

2021

Sensors

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Presently modern technology makes a significant contribution to the transition from traditional healthcare to smart healthcare systems. Mobile health (mHealth) uses advances in wearable sensors, telecommunications and the Internet of Things (IoT) to propose a new healthcare concept centered on the patient. Patients’ real-time remote continuous health monitoring, remote diagnosis, treatment, and therapy is possible in an mHealth system. However, major limitations include the transparency, security, and privacy of health data. One possible solution to this is the use of blockchain technologies, which have found numerous applications in the healthcare domain mainly due to theirs features such as decentralization (no central authority is needed), immutability, traceability, and transparency. We propose an mHealth system that uses a private blockchain based on the Ethereum platform, where wearable sensors can communicate with a smart device (a smartphone or smart tablet) that uses a peer-to-peer hypermedia protocol, the InterPlanetary File System (IPFS), for the distributed storage of health-related data. Smart contracts are used to create data queries, to access patient data by healthcare providers, to record diagnostic, treatment, and therapy, and to send alerts to patients and medical professionals.

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“…The applications of portable sensors are divided into different categories: biophysical monitoring, biochemical monitoring, and real-time data measurement [14]. When it comes to real-time measurement, this technology can even be used to monitor heart rate and its variability while driving, in order to prevent the risk of cardiac arrest [15].…”

Section: Introductionmentioning

confidence: 99%

Biomechanics of Trail Running Performance: Quantification of Spatio-Temporal Parameters by Using Low Cost Sensors in Ecological Conditions

Perrotin¹,

Gardan²,

Lesprillier³

et al. 2021

Applied Sciences

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The recent popularity of trail running and the use of portable sensors capable of measuring many performance results have led to the growth of new fields in sports science experimentation. Trail running is a challenging sport; it usually involves running uphill, which is physically demanding and therefore requires adaptation to the running style. The main objectives of this study were initially to use three “low-cost” sensors. These low-cost sensors can be acquired by most sports practitioners or trainers. In the second step, measurements were taken in ecological conditions orderly to expose the runners to a real trail course. Furthermore, to combine the collected data to analyze the most efficient running techniques according to the typology of the terrain were taken, as well on the whole trail circuit of less than 10km. The three sensors used were (i) a Stryd sensor (Stryd Inc. Boulder CO, USA) based on an inertial measurement unit (IMU), 6 axes (3-axis gyroscope, 3-axis accelerometer) fixed on the top of the runner’s shoe, (ii) a Global Positioning System (GPS) watch and (iii) a heart belt. Twenty-eight trail runners (25 men, 3 women: average age 36 ± 8 years; height: 175.4 ± 7.2 cm; weight: 68.7 ± 8.7 kg) of different levels completed in a single race over a 8.5 km course with 490 m of positive elevation gain. This was performed with different types of terrain uphill (UH), downhill (DH), and road sections (R) at their competitive race pace. On these sections of the course, cadence (SF), step length (SL), ground contact time (GCT), flight time (FT), vertical oscillation (VO), leg stiffness (Kleg), and power (P) were measured with the Stryd. Heart rate, speed, ascent, and descent speed were measured by the heart rate belt and the GPS watch. This study showed that on a ≤10 km trail course the criteria for obtaining a better time on the loop, determined in the test, was consistency in the effort. In a high percentage of climbs (>30%), two running techniques stand out: (i) maintaining a high SF and a short SL and (ii) decreasing the SF but increasing the SL. In addition, it has been shown that in steep (>28%) and technical descents, the average SF of the runners was higher. This happened when their SL was shorter in lower steep and technically challenging descents.

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Intelligent wearable heart rate sensor implementation for in-vehicle infotainment and assistance

Cited by 16 publications

References 3 publications

Wearable Technology and Women Empowerment in the Technology Industry

Wearable Technology and Women Empowerment in the Technology Industry

A Blockchain-Enabled Framework for mHealth Systems

Biomechanics of Trail Running Performance: Quantification of Spatio-Temporal Parameters by Using Low Cost Sensors in Ecological Conditions

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