Intersection cross-cut: bracelet ∩ sensor-skin-temperature

Axes: form_factor × sensors

5 corpus entries disclose both tags.

Earliest disclosure: 2010-01

These entries are the direct inputs to OBVIOUSNESS_TEMPLATE.md. Any patent claim combining these two elements is anticipated or rendered obvious by the chain below.

Pantelopoulos & Bourbakis (2010) — survey on wearable sensor-based systems for health monitoring and prognosis (2010-01)

  • id: pantelopoulos-bourbakis-2010-wearable-health-survey
  • corpus: academic
  • form factor: other
  • creator: Alexandros Pantelopoulos / Nikolaos G. Bourbakis
  • disclosure: Pantelopoulos A, Bourbakis NG. ‘A survey on wearable sensor-based systems for health monitoring and prognosis.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2010;40(1):1-12.
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-skin-temperature, sensor-respiration-impedance
  • algorithms: algo-hr, algo-arrhythmia-classification, algo-spo2-estimation, algo-fall-detection, algo-activity-classification
  • prior art notes: Surveys, as of 2010, the architecture and components of wearable health-monitoring systems — sensors (ECG, PPG, SpO2, accelerometry, temperature, respiration), garment- and patch- and watch-based form factors, on-body processing, wireless body-area networking, and the analytics (arrhythmia, fall, activity, deterioration prediction). Prior art establishing that the general ‘multi-sensor wearable + body-area network + cloud analytics’ system architecture and its building blocks were collected and published by 2010 — useful against later claims to the bare system architecture. General anchor.

Microsoft Band (2014) — ten-sensor wristband (optical HR, GPS, GSR, UV, skin temp, barometer, ambient light, capacitive, microphone, IMU) (2014-10-30)

  • id: microsoft-band-2014
  • corpus: private
  • form factor: watch
  • creator: Microsoft Corp.
  • disclosure: Microsoft Corp. ‘Microsoft Band’, released 30 October 2014 — a wristband integrating ten sensors: an optical (PPG) heart-rate sensor, a 3-axis accelerometer/gyroscope, GPS, an ambient-light sensor, a skin-temperature sensor, a UV sensor, a capacitive (wear-detection) sensor, a galvanic-skin-response sensor, a microphone, and a barometer (added in Band 2).
  • ip status: patented
  • sensors: sensor-ppg, sensor-accelerometer, sensor-gyroscope, sensor-skin-temperature, sensor-uv, sensor-gsr, sensor-barometer, sensor-photodiode-ambient, sensor-microphone-air
  • algorithms: algo-hr, algo-step-count, algo-calorie-estimation, algo-sleep-staging, algo-stress-index, algo-uv-dose-tracking
  • prior art notes: Discloses a single wristband integrating an unusually broad sensor suite — reflectance-PPG HR, IMU, GPS, skin temperature, UV exposure, galvanic skin response (electrodermal activity), barometer, ambient light, capacitive wear-detection, and a microphone — feeding HR, activity, sleep, UV dose, and stress-index estimations. Prior art for multi-sensor-wristband claims reciting combinations of these sensors (notably wrist GSR/EDA + PPG + skin temperature for stress) from October 2014. Product-side anchor for the multi-sensor wristband cross-cut.

WHOOP Strap (2015) — display-less wrist/bicep PPG band for continuous HR/HRV, sleep and recovery (2015)

  • id: whoop-strap-2015
  • corpus: private
  • form factor: bracelet
  • creator: WHOOP, Inc. (Will Ahmed)
  • disclosure: WHOOP, Inc. ‘WHOOP Strap’, launched 2015 — a screenless band worn on the wrist or upper arm with photoplethysmography, a 3-axis accelerometer, and skin-temperature sensing, providing continuous heart rate, heart-rate variability, respiratory rate, sleep staging, and a derived ‘recovery’ score, with no on-device display.
  • ip status: patented
  • sensors: sensor-ppg, sensor-accelerometer, sensor-skin-temperature
  • algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-sleep-staging, algo-activity-classification
  • prior art notes: Discloses a display-less band worn on the wrist or upper arm with PPG, accelerometry, and skin-temperature sensing that continuously derives HR, HRV, respiratory rate, and sleep stages and combines them into a daily ‘recovery’ index, with no screen (companion-app readout). Anticipates screenless-band claims and PPG-derived-HRV/recovery-score claims from 2015. Product-side anchor for the bracelet × PPG cross-cut and the HRV cross-cut.

Gao et al. (Javey group) (2016) — fully integrated wearable sensor array for multiplexed in-situ perspiration analysis (2016-01-28)

  • id: gao-javey-2016-wearable-sweat-sensor-array
  • corpus: academic
  • form factor: headband
  • creator: Wei Gao et al. / Ali Javey group (UC Berkeley)
  • disclosure: Gao W, Emaminejad S, Nyein HYY, Challa S, Chen K, Peck A, et al. (Javey A). ‘Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis.’ Nature 2016;529(7587):509-514.
  • ip status: public-domain
  • sensors: sensor-lactate, sensor-glucose-cgm, sensor-electrolyte, sensor-ph, sensor-skin-temperature, sensor-microfluidic-sweat-collection
  • algorithms: algo-electrolyte-trend, algo-hydration-status
  • prior art notes: Discloses a fully integrated wearable (wristband / headband) with an array of electrochemical sensors measuring multiple sweat analytes simultaneously (glucose, lactate, Na+, K+) plus skin temperature for real-time signal compensation, with on-board signal conditioning, microcontroller, and wireless transmission to a phone — i.e. a complete in-situ sweat biochemistry monitor. Any wearable claim reciting ‘a band-form device with an array of two or more electrochemical sweat-analyte sensors plus a temperature sensor for compensation, with integrated electronics and wireless output’ reads on Gao/Javey 2016. Anchor for the sweat-electrochemical-sensing cross-cuts on the real side; [[bandodkar-wang-2014-wearable-electrochemical-sensors-review]] is the contemporaneous review.

Empatica Embrace2 (2018) — first FDA-cleared seizure-monitoring smartwatch (accelerometer + electrodermal activity) (2018-01-31)

  • id: empatica-embrace2-seizure-watch-2018
  • corpus: private
  • form factor: watch
  • creator: Empatica Inc. (Rosalind Picard, Matteo Lai, et al.)
  • disclosure: Empatica Inc. ‘Embrace2’ smartwatch, FDA-cleared January 2018 — a wrist-worn device with a 3-axis accelerometer/gyroscope, an electrodermal-activity (EDA) sensor, and a peripheral skin-temperature sensor, running an on-device classifier that detects probable generalized tonic-clonic seizures from the combined motion + EDA signature and alerts caregivers; the first FDA-cleared smartwatch for seizure monitoring. (Descends from the MIT Media Lab ‘iCalm’/’Q sensor’ EDA wristband research, Picard et al.)
  • ip status: patented
  • sensors: sensor-accelerometer, sensor-gyroscope, sensor-gsr, sensor-skin-temperature
  • algorithms: algo-seizure-detection, algo-stress-index, algo-activity-classification
  • prior art notes: Discloses a wristworn device that detects probable generalized tonic-clonic seizures by combining a motion (accelerometer/gyroscope) signature with an electrodermal-activity (sympathetic-surge) signature in an on-device classifier, and alerts caregivers — i.e. multimodal wrist-based seizure detection, distinct from the EEG-based approach. Anticipates wrist-seizure-detection claims combining ‘a wrist-worn accelerometer and an electrodermal-activity sensor’ and ‘a classifier flagging a seizure from their combined signal’ from 2018. Product-side anchor for the wrist × seizure-detection cross-cut; complementary to the EEG route in [[zanetti-aminifar-atienza-eglass-2025]] and [[chb-mit-scalp-eeg-database-2009]].

Public domain (CC0 1.0). The corpus IS the prior art commons.

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