Passive UHF RFID-Based Knitted Wearable Compression Sensor

Tajin, Abu Saleh; Amanatides, Chelsea; Dion, Geneviève; Dandekar, Kapil R.

doi:10.1109/jiot.2021.3068198

Cited by 39 publications

(29 citation statements)

References 21 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IoT WBANs have various applications in healthcare monitoring, fitness tracking, defense and wearable sensing [13], [14]. Powering such systems using microwave and mmWave rectennas has attracted significant research interest, from Ultra-High Frequency (UHF) to mmWave 5G bands [15]- [17], where wireless power transmission is increasingly seen as a reliable and scalable method for powering the IoT [18].…”

mentioning

confidence: 99%

Millimeter Wave Power Transmission for Compact and Large-Area Wearable IoT Devices based on a Higher-Order Mode Wearable Antenna

Wagih¹,

Hilton²,

Weddell³

et al. 2021

Preprint

View full text Add to dashboard Cite

Owing to the shorter wavelength in the millimeter-wave (mmWave) spectrum, miniaturized antennas can receive power with a higher efficiency than UHF bands, promising sustainable mmWave-powered Internet of Things (IoT) devices. Nevertheless, the performance of a mmWave power receiver has not been compared, numerically or experimentally, to its sub-6 GHz counterpart. In this paper, the performance of mmWave-powered receivers is evaluated based on a novel wearable textile-based higher-order mode microstrip antenna, showing the benefits of wireless power transmission (WPT). Firstly, a broadband antenna is proposed maintaining a stable wearable measured bandwidth from 24.9 to 31.1 GHz, over three-fold improvement compared to a conventional patch. The proposed antenna has a measured 8.2 dBi co-polarized gain with the highest thickness-normalized efficiency of a wearable antenna. When evaluated for compact power receivers, the measured path gain shows that WPT at 26 GHz outperforms 2.4 GHz by 11 dB. A rectenna array based on the proposed antenna is then evaluated analytically showing the potential for up to 6.3x higher power reception compared to a UHF patch, based on the proposed antenna's gain and an empirical path-loss model. Both use cases demonstrate that mmWave-powered rectennas are suitable for area-constrained and large-area wearable IoT applications.

show abstract

mentioning

confidence: 99%

Millimeter Wave Power Transmission for Compact and Large-Area Wearable IoT Devices based on a Higher-Order Mode Wearable Antenna

Wagih¹,

Hilton²,

Weddell³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…We have studied the use of wearable technologies in the respiratory monitoring of infants. To this end, we use the Bellypatch (see Figure 1), a wearable smart garment that utilizes a knitted fabric antenna and passively reflects wireless signals without requiring a battery or wired connection [5][6][7]. The Bellypatch fabric stretches and moves as the infant breathes, contracts muscles, and moves about in space; the physical properties of the radio frequency (RF) energy reflected by the antenna change with these movements.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants

et al. 2022

Self Cite

View full text Add to dashboard Cite

Precise monitoring of respiratory rate in premature newborn infants is essential to initiating medical interventions as required. Wired technologies can be invasive and obtrusive to the patients. We propose a deep-learning-enabled wearable monitoring system for premature newborn infants, where respiratory cessation is predicted using signals that are collected wirelessly from a non-invasive wearable Bellypatch put on the infant’s body. We propose a five-stage design pipeline involving data collection and labeling, feature scaling, deep learning model selection with hyperparameter tuning, model training and validation, and model testing and deployment. The model used is a 1-D convolutional neural network (1DCNN) architecture with one convolution layer, one pooling layer, and three fully-connected layers, achieving 97.15% classification accuracy. To address the energy limitations of wearable processing, several quantization techniques are explored, and their performance and energy consumption are analyzed for the respiratory classification task. Results demonstrate a reduction of energy footprints and model storage overhead with a considerable degradation of the classification accuracy, meaning that quantization and other model compression techniques are not the best solution for respiratory classification problem on wearable devices. To improve accuracy while reducing the energy consumption, we propose a novel spiking neural network (SNN)-based respiratory classification solution, which can be implemented on event-driven neuromorphic hardware platforms. To this end, we propose an approach to convert the analog operations of our baseline trained 1DCNN to their spiking equivalent. We perform a design-space exploration using the parameters of the converted SNN to generate inference solutions having different accuracy and energy footprints. We select a solution that achieves an accuracy of 93.33% with 18x lower energy compared to the baseline 1DCNN model. Additionally, the proposed SNN solution achieves similar accuracy as the quantized model with a 4× lower energy.

show abstract

“…In the past years, many types of textile antennas for different applications and frequency bands were published. Dipoles [ 10 , 11 , 12 ], spiral antennas [ 13 ], patches [ 5 , 14 ] and planar inverted F antennas (PIFA) [ 15 ] were usually designed for ISM bands 2.4 GHz and 5.8 GHz using different fabrics and yarns. Some planar monopole antennas for UWB bands have been designed for frequencies up to 20 GHz [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Slot Antennas Integrated into 3D Knitted Fabrics: 5.8 GHz and 24 GHz ISM Bands

Cupal

Raida

2022

Sensors

View full text Add to dashboard Cite

In the paper, a 3D knitted fabric is used for the design of a circularly polarized textile-integrated antenna. The role of the radiating element is played by a circular slot etched into the conductive top wall of a textile-integrated waveguide. Inside the circular slot, a cross slot rotated for about 45° is etched to excite the circular polarization. The polarization of the antenna can be changed by the rotation of the cross slot. The antenna has a patch-like radiation pattern, and the gain is about 5.3 dBi. The textile-integrated feeder of the antenna is manufactured by screen printing conductive surfaces and sewing side walls with conductive threads. The antenna was developed for ISM bands 5.8 GHz and 24 GHz. The operation frequency 24 GHz is the highest frequency of operation for which the textile-integrated waveguide antenna has been manufactured.

show abstract

Passive UHF RFID-Based Knitted Wearable Compression Sensor

Cited by 39 publications

References 21 publications

Millimeter Wave Power Transmission for Compact and Large-Area Wearable IoT Devices based on a Higher-Order Mode Wearable Antenna

Millimeter Wave Power Transmission for Compact and Large-Area Wearable IoT Devices based on a Higher-Order Mode Wearable Antenna

Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants

Slot Antennas Integrated into 3D Knitted Fabrics: 5.8 GHz and 24 GHz ISM Bands

Contact Info

Product

Resources

About