Investigating sensor data retrieval schemes for multi-sensor passive RFID tags

Su, Yang; Wickramasinghe, Asanga; Ranasinghe, Damith C.

doi:10.1109/rfid.2015.7113087

Cited by 21 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The W 2 ISP works on the energy collected from the electromagnetic field illuminating it [23]. The RFID infrastructure is used to energize and collect data from the W 2 ISP where the communication is governed by the air interface protocol ISO 18000-6C [25], [26]. A single RFID sensor platform can communicate with multiple W 2 ISPs and individual W 2 ISP tags can be identified using the unique electronic identifier communicated by the W 2 ISP along with the sensor data.…”

Section: A Rfid Sensor Platformmentioning

confidence: 99%

Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People

Wickramasinghe

Ranasinghe

Visvanathan

2017

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

Getting out of bed and ambulating without supervision is identified as one of the major causes of patient falls in hospitals and nursing homes. Therefore, increased supervision is proposed as a key strategy toward falls prevention. An emerging generation of batteryless, lightweight, and wearable sensors are creating new possibilities for ambulatory monitoring, where the unobtrusive nature of such sensors makes them particularly adapted for monitoring older people. In this study, we investigate the use of a batteryless radio-frequency identification (RFID) tag response to analyze bed-egress movements. We propose a bed-egress movement detection framework that includes a novel sequence learning classifier with a set of features derived from bed-egress motion analysis. We analyzed data from 14 healthy older people (66-86 years old) who wore a wearable embodiment of a batteryless accelerometer integrated RFID sensor platform loosely attached over their clothes at sternum level, and undertook a series of activities including bed-egress in two clinical room settings. The promising results indicate the efficacy of our batteryless bed-egress monitoring framework.

show abstract

Section: A Rfid Sensor Platformmentioning

confidence: 99%

Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People

Wickramasinghe

Ranasinghe

Visvanathan

2017

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Like any passive RFID tag, W 2 ISP harvests power from radiation emitted by the RFID reader antennas and read by a Figure 2: A typical data stream obtained using the sensor tag illustrating sparsity and noise standard off-the-shelf UHF (Ultra High Frequency) RFID reader where sensor data is embedded in the tag identifier [35]. W 2 ISP can be read approximately from 4 m when worn by a human, weighs approximately 3 g and mass production cost per tag is estimated to be about $3 [5].…”

Section: Methodology 31 Sensor Tagmentioning

confidence: 99%

Recognising Activities in Real Time Using Body Worn Passive Sensors With Sparse Data Streams: To Interpolate or Not To Interpolate?

Wickramasinghe¹,

Ranasinghe²

2015

Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Self Cite

View full text Add to dashboard Cite

Recent emergence of small, lightweight, batteryless (passive), and therefore maintenance free, wearable computing platforms such as sensor enabled RFID (Radio Frequency Identification) tags provide new opportunities for low cost and unobtrusive activity monitoring. Unfortunately, data streams from passive sensors are uniquely characterised by sparsity and noise. Consequently, readily extracting features that require a data stream with a regular sampling rate, such as those based on frequency domain transformations and auto regressive coefficients are challenging. In this study, we propose an approach that reduces online interpolation errors to facilitate interpolating sparse acceleration data streams from a passive RFID tag with an on-board accelerometer sensor. We demonstrate using two datasets from older people that incorporating features extracted from interpolated acceleration data depicts a significant performance improvement compared with incorporating features possible from only raw acceleration data. However, this is achieved at the expense of a real-time prediction delay (>400%) due to preprocessing involved. Furthermore, we demonstrate that for these types of sensors, features readily available from a typical RFID platform can be successfully used instead of features extracted from an interpolated data stream to achieve similar or better activity recognition performance without preprocessing and, whilst, using significantly less number of features.

show abstract

“…Sistem multisensor [9] merupakan sistem yang menggunakan lebih dari satu perangkat sensor dalam interaksinya, jenis perangkat sensor yang digunakan adalah modul yang sama. Konsep sistem multisensor ditunjukkan pada Gambar 1.…”

Section: Studi Pustakaunclassified

Sistem Multi-Sensor Nirkabel Berbasis RFID Untuk Pemantauan Keaktifan Siswa

Zakiah

Away

Arnia

et al. 2020

JRE

View full text Add to dashboard Cite

Informasi keaktifan siswa pada boarding school [1] diperlukan oleh orang tua siswa untuk memastikan siswa tersebut mengikuti kegiatan yang telah diprogram oleh sekolah. Dengan perkembangan teknologi Radio Frequency Identification (RFID) dan sensor nirkabel, memungkinkan dirancang suatu sistem yang dapat mencatat kehadiran siswa di beberapa tempat. Sistem pengamatan yang dikembangkan ini memiliki fungsi untuk melihat rekap data dan status kehadiran dengan lebih efektif dan efisien. Data absensi yang setiap hari semakin bertambah, memungkinkan memilih suatu aplikasi yang terintegrasi dengan perangkat smart media. Pada sekolah boarding, siswa akan berada di sekolah selama 24 jam, orang tua siswa perlu mengetahui keaktifan siswa, disamping itu pihak sekolah juga membutuhkan sistem berbasis Teknologi Informasi dan Komunikasi (TIK).Kajian terkait dengan penelitian sistem berbasis teknologi RFID di lingkungan sekolah/kampus [2,3], bertujuan untuk mencatat kehadiran/presensi siswa (attendance) [4]. Kehadiran siswa/mahasiswa telah menjadi elemen penting yang mencerminkan prestasi akademik dan berkontribusi juga terhadap kinerja sekolah/ universitas. Berbagai teknologi identifikasi otomatis pernah dilakukan, diantaranya oleh Panggabean [5], untuk proses absensi konvensional suatu perkuliahan [6,7], yang dapat mengganggu fokus mahasiswa saat mendengarkan penjelasan dosen ketika proses absensi dilaksanakan.Penelitian lain oleh A. Jadid, mendeskripsikan teknologi RFID yang terintegrasi dengan sistem informasi web untuk memudahkan proses rekapitulasi data absensi sehingga menghemat waktu [8]. Kajian lain yang terkait juga dilakukan oleh Yoo, dimana telah dikembangkan Abstrak-Penelitian ini bertujuan merancang suatu sistem pengamatan multisensor, mengembangkan prototipe berbasis mikrokontroler dengan ESP8266 dan modul RFID, serta menganalisis kinerja prototipe. Pengujian dilakukan dengan cara men-tag setiap kali siswa melakukan aktifitas, data tag client akan dikirim ke server, dan hasilnya ditampilkan PLX-DAQ. Dari 50 kartu tag yang telah terdaftar ID masing-masing siswa, menunjukkan bahwa untuk yang hadir sesuai jadwal diberi logika "1" (sebaliknya logika "0"), dan akan didapatkan data kehadiran dengan menghitung jumlah kehadiran siswa terhadap empat jenis kegiatan di empat lokasi. Data tersebut ditransmisikan ke data-logger melalui dua konfigurasi yaitu data-logger sebagai client (indirect), dan datalogger sebagai server (direct). Dari dua konfigurasi tersebut didapatkan bahwa konfigurasi data-logger sebagai server mempunyai kinerja 19,08% lebih baik dari data-logger sebagai client. Berdasarkan pengolahan data, didapatkan bahwa keaktifan siswa tertinggi adalah minat pada kegiatan lembaga bahasa (95,92 %), selanjutnya minat pada kegiatan agama (95,83%), kegiatan belajar mengajar (93,88 %), dan minat baca (79,59 %). Kata kunci: RFID, multisensor, keaktifan, sekolah asramaAbstract-This study aims to design a multisensor observation system, develop a microcontroller-based prototype with ESP8266 and RFID modules, and analyze the ...

show abstract

Investigating sensor data retrieval schemes for multi-sensor passive RFID tags

Cited by 21 publications

References 13 publications

Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People

Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People

Recognising Activities in Real Time Using Body Worn Passive Sensors With Sparse Data Streams: To Interpolate or Not To Interpolate?

Sistem Multi-Sensor Nirkabel Berbasis RFID Untuk Pemantauan Keaktifan Siswa

Contact Info

Product

Resources

About