Cross-cut: `algo-activity-classification`

Axis: algorithms

21 corpus entries disclose this tag.

Earliest disclosure: 1992

Listed in chronological order. Each entry’s prior_art_notes and disclosure_citation constitute the citeable prior art material.

Cole & Kripke et al. (1992) — automatic sleep/wake identification from wrist activity (the Cole-Kripke algorithm) (1992)

id: cole-kripke-1992-wrist-actigraphy-sleep
corpus: academic
form factor: watch
creator: Roger J. Cole / Daniel F. Kripke et al.
disclosure: Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. ‘Automatic sleep/wake identification from wrist activity.’ Sleep 1992;15(5):461-469.
ip status: public-domain
sensors: sensor-accelerometer
algorithms: algo-sleep-staging, algo-activity-classification
prior art notes: Discloses an algorithm that classifies each epoch as sleep or wake from a wrist-worn activity (accelerometer) recording, validated against polysomnography — i.e. wrist actigraphy as a wearable sleep monitor. Any consumer-wearable claim reciting ‘estimating sleep/wake state from a wrist-worn accelerometer signal’ (the method underlying Fitbit/Jawbone-class sleep tracking) reads on Cole-Kripke 1992. Anchor for the accelerometry sleep-staging cross-cut; combined with the wrist form factor it makes wristworn sleep tracking obvious under [[obviousness-template]].

Sadeh et al. (1994) — activity-based sleep-wake identification (the Sadeh algorithm) (1994)

id: sadeh-1994-actigraphy-sleep-wake-algorithm
corpus: academic
form factor: watch
creator: Avi Sadeh / Katherine M. Sharkey / Mary A. Carskadon
disclosure: Sadeh A, Sharkey KM, Carskadon MA. ‘Activity-based sleep-wake identification: an empirical test of methodological issues.’ Sleep 1994;17(3):201-207.
ip status: public-domain
sensors: sensor-accelerometer
algorithms: algo-sleep-staging, algo-activity-classification
prior art notes: A second widely-used wrist-actigraphy sleep/wake scoring algorithm, with explicit treatment of the methodological choices (epoch length, scoring window, scaling). Prior art alongside [[cole-kripke-1992-wrist-actigraphy-sleep]] for any wearable claim reciting an actigraphy-based sleep-detection method or its parameters; both were published and validated by 1994.

Williams et al. (1998) — accelerometer-based automatic fall and activity monitor for telecare (1998-10)

id: williams-1998-automatic-fall-detector
corpus: academic
form factor: belt
creator: G. Williams / K. Doughty / K. Cameron / D.A. Bradley
disclosure: Williams G, Doughty K, Cameron K, Bradley DA. ‘A smart fall and activity monitor for telecare applications.’ Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Hong Kong, 1998, pp. 1151-1154.
ip status: unknown
sensors: sensor-accelerometer, sensor-piezoelectric
algorithms: algo-fall-detection, algo-activity-classification
prior art notes: Discloses a body-worn (waist/trunk) device that automatically detects a fall from accelerometer/impact signals — distinguishing falls from normal activity — and raises a telecare alarm, without requiring the wearer to press a button. Anticipates automatic-fall-detection wearable claims combining ‘a body-worn inertial sensor’, ‘a classifier distinguishing a fall from activities of daily living’, and ‘an automatic alert on detection’. Anchor for the fall-detection cross-cut; combined with watch/pendant form-factor disclosures, makes wristworn/pendant automatic fall detection obvious under [[obviousness-template]].

Garmin Forerunner 201 (2003) — wristworn GPS running watch with pace/distance and heart-rate (strap) integration (2003)

id: garmin-forerunner-201-2003
corpus: private
form factor: watch
creator: Garmin Ltd.
disclosure: Garmin Ltd. ‘Forerunner 101/201’, introduced 2003 — a wrist-worn GPS receiver/watch logging pace, distance, route, and (with a paired chest strap) heart rate, with workout history and a web/PC sync. Later Garmin watches (Fenix/Forerunner with the ‘Elevate’ optical sensor, c. 2015) moved heart rate, and subsequently SpO2 (pulse ox) and respiration, onto the wrist.
ip status: patented
sensors: sensor-accelerometer, sensor-ecg, sensor-ppg
algorithms: algo-hr, algo-step-count, algo-calorie-estimation, algo-activity-classification
prior art notes: Discloses a wrist-worn GPS sport watch deriving pace, distance, and route, integrating heart rate from a paired electrode chest strap, and syncing workout history to a host — and, in later Garmin models, on-wrist optical-PPG heart rate, SpO2, and respiration. Anticipates GPS-sport-watch claims from 2003 and (for the later models) wrist-optical-vitals claims. Product-side anchor for the watch × GPS-fitness cross-cut.

Paradiso et al. (2005) — ‘A wearable health care system based on knitted integrated sensors’ (WEALTHY) (2005-09)

id: paradiso-2005-wealthy-knitted-smart-shirt
corpus: academic
form factor: garment
creator: Rita Paradiso / Giannicola Loriga / Nicola Taccini (Smartex / CNR, Italy; EU WEALTHY consortium)
disclosure: Paradiso R, Loriga G, Taccini N. ‘A wearable health care system based on knitted integrated sensors.’ IEEE Transactions on Information Technology in Biomedicine 2005;9(3):337-344. (Output of the EU FP5 ‘WEALTHY’ project, 2002-2005.)
ip status: public-domain
sensors: sensor-ecg, sensor-respiration-impedance, sensor-piezoelectric, sensor-accelerometer, sensor-skin-temperature
algorithms: algo-hr, algo-respiratory-rate, algo-activity-classification
prior art notes: Discloses a smart shirt with electrodes and sensors knitted directly into the textile (conductive yarns forming dry ECG electrodes; piezoresistive yarns forming respiration sensors via thoracic/abdominal expansion; accelerometer; temperature) plus an on-garment electronic interface and wireless link, deriving ECG, heart rate, respiration, posture/activity, and temperature — i.e. a fully integrated textile-electrode wearable. Any claim reciting ‘an item of clothing with electrodes/sensors integrated into the fabric structure for physiological monitoring’ reads on Paradiso 2005. Anchor for the garment × textile-electrode cross-cut; the foundational EU project for the smart-shirt patent space (Hexoskin, Cityzen, etc. all build on this lineage).

Nike+iPod Sport Kit (2006) — instrumented-shoe accelerometer pod (2006-05-23)

id: nike-plus-ipod-sport-kit-2006
corpus: private
form factor: shoe
creator: Nike, Inc. / Apple Inc.
disclosure: Nike, Inc. and Apple Inc. ‘Nike+iPod Sport Kit’, announced 23 May 2006 — an accelerometer pod that sits in a cavity in a Nike+ running shoe and transmits pace, distance, and calories wirelessly to an iPod nano.
ip status: patented
sensors: sensor-accelerometer
algorithms: algo-step-count, algo-activity-classification, algo-calorie-estimation
prior art notes: Discloses an accelerometer module integrated into the structure of a running shoe that derives pace, distance, and calories and transmits them wirelessly to a paired device. Anticipates instrumented-footwear claims combining ‘an inertial sensor housed in a shoe’, ‘derivation of gait/running metrics’, and ‘wireless transmission to a companion device’ from 2006. Anchor for the shoe/insole × accelerometer cross-cut on the product side; predates the smart-insole patent wave.

Fitbit Tracker (2009) — clip-on accelerometer activity and sleep monitor (2009-10)

id: fitbit-tracker-2009
corpus: private
form factor: pendant
creator: Fitbit, Inc. (James Park, Eric Friedman)
disclosure: Fitbit, Inc. ‘Fitbit Tracker’, launched October 2009 — a clip-worn device with a 3-axis accelerometer estimating steps, distance, calories burned, active minutes, and sleep quality, syncing wirelessly to a web dashboard. (The wrist PPG heart-rate variant, Fitbit Charge HR, followed in January 2015.)
ip status: patented
sensors: sensor-accelerometer
algorithms: algo-step-count, algo-calorie-estimation, algo-activity-classification, algo-sleep-staging
prior art notes: Discloses a small body-worn (clip) device with a 3-axis accelerometer that estimates step count, distance, calories, active minutes, and sleep quality on-device and syncs wirelessly to a cloud dashboard. Anticipates consumer-activity-tracker claims combining ‘a body-worn accelerometer’, ‘on-device estimation of steps/calories/activity/sleep’, and ‘wireless sync to a remote service’ from 2009. Anchor for the step-count and consumer-sleep-tracking cross-cuts on the product side.

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.

Patel et al. (2012) — ‘A review of wearable sensors and systems with application in rehabilitation’ (2012-04-20)

id: patel-bonato-2012-wearable-sensors-rehab-review
corpus: academic
form factor: other
creator: Shyamal Patel / Hyung Park / Paolo Bonato et al.
disclosure: Patel S, Park H, Bonato P, Chan L, Rodgers M. ‘A review of wearable sensors and systems with application in rehabilitation.’ Journal of NeuroEngineering and Rehabilitation 2012;9:21.
ip status: public-domain
sensors: sensor-accelerometer, sensor-gyroscope, sensor-emg, sensor-ecg, sensor-ppg, sensor-pressure-skin
algorithms: algo-gait-analysis, algo-activity-classification, algo-fall-detection, algo-tremor-detection, algo-bradykinesia-detection, algo-posture-detection
prior art notes: Reviews, as of 2012, wearable inertial/EMG/pressure sensor systems for movement and physiological monitoring in rehabilitation and chronic-disease management — gait analysis, activity and posture classification, fall detection, tremor and bradykinesia quantification (Parkinson’s), with the sensor placements (foot/insole, shank, thigh, trunk, wrist, forearm) and algorithms. Prior art for wearable movement-disorder and gait-monitoring claims reciting any of the placements/analytics surveyed; collected and published by 2012. General anchor for the gait / tremor / activity cross-cuts.

Hexoskin smart shirt (2014) — textile-integrated ECG, respiration and activity garment (2013)

id: hexoskin-smart-shirt-2014
corpus: private
form factor: garment
creator: Carre Technologies Inc.
disclosure: Carre Technologies Inc. (Hexoskin). ‘Hexoskin Smart Shirt’, introduced 2013 (consumer); a compression shirt with knitted dry textile electrodes for single-lead ECG, two-channel respiratory inductive plethysmography (thoracic + abdominal expansion), a 3-axis accelerometer, and a removable electronics pod, deriving HR, HRV, breathing rate/volume, cadence, steps, and sleep. (Used in NASA/CSA ‘Astroskin’ studies.)
ip status: patented
sensors: sensor-ecg, sensor-respiration-impedance, sensor-piezoelectric, sensor-accelerometer
algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-activity-classification, algo-sleep-staging
prior art notes: Discloses a consumer/research compression shirt with textile-integrated dry ECG electrodes, two-channel respiratory inductive plethysmography (thoracic + abdominal), an accelerometer, and a removable electronics pod, deriving HR, HRV, breathing rate and volume, activity, and sleep. A commercial realization of [[paradiso-2005-wealthy-knitted-smart-shirt]]; anticipates smart-shirt claims combining ‘textile-integrated ECG and respiration sensors’ and ‘a detachable electronics module’ from 2013. Product-side anchor for the garment × textile-electrode cross-cut.

Sensoria Smart Socks (2014) — pressure-sensing sock + electronic anklet for gait/running analysis (2014-01)

id: sensoria-smart-socks-2014
corpus: private
form factor: sock
creator: Sensoria Inc. (formerly Heapsylon)
disclosure: Sensoria Inc. ‘Sensoria Fitness Smart Socks’, announced January 2014 — running socks with three pressure-sensitive textile sensors woven into the sole (under the heel, ball of foot, and toes) and a magnetically-attached ‘Sensoria Core’ anklet (accelerometer + Bluetooth) that derives cadence, foot strike pattern (heel/mid/forefoot), foot landing zone, pace, distance, and provides real-time audio coaching.
ip status: patented
sensors: sensor-pressure-skin, sensor-piezoelectric, sensor-accelerometer
algorithms: algo-step-count, algo-gait-analysis, algo-activity-classification
prior art notes: Discloses a sock with multiple pressure-sensitive textile sensors woven into the sole, paired with a removable ankle-worn electronics module that derives cadence, foot-strike pattern, pressure distribution, and pace. Anticipates smart-sock/sole-pressure-sensing claims combining ‘a sock with one or more textile pressure sensors at multiple positions of the foot sole’ and ‘a paired electronics module deriving gait metrics’ from 2014. Product-side anchor for the sock form-factor cross-cut (the only sock entry); cf. [[nike-plus-ipod-sport-kit-2006]] (the earlier shoe/insole route).

Bragi Dash (2014) — the first true ‘hearable’: in-ear PPG heart rate, accelerometer, storage and touch control inside wireless earbuds (2014-02-25)

id: bragi-dash-2014
corpus: private
form factor: earbud
creator: Bragi GmbH
disclosure: Bragi GmbH. ‘The Dash’ wireless smart earphones, crowdfunded February 2014 (shipped 2016) — fully wireless in-ear earbuds with a reflectance-PPG heart-rate sensor and oxygen-saturation estimation against the ear-canal wall, a 3-axis accelerometer (head-gesture and step/activity tracking), 4 GB onboard music storage, bone-conduction microphone, and capacitive touch control.
ip status: patented
sensors: sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-microphone-bone
algorithms: algo-hr, algo-spo2-estimation, algo-step-count, algo-activity-classification
prior art notes: Discloses fully-wireless in-ear earbuds with a reflectance-PPG heart-rate and SpO2 sensor against the ear-canal wall, an accelerometer for head-gesture and step/activity tracking, onboard music storage, a bone-conduction microphone, and capacitive touch control — i.e. physiological sensing integrated into wireless earbuds. Anticipates hearable claims combining ‘a wireless earbud housing’, ‘an in-ear PPG/SpO2 sensor’, ‘an accelerometer for activity or head gesture’, and ‘on-device media and controls’ from 2014. Product-side anchor for the earbud × PPG 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.

Fitbit Charge HR (2015) — wristband with continuous wrist-PPG heart rate (‘PurePulse’) (2015-01-06)

id: fitbit-charge-hr-2015
corpus: private
form factor: watch
creator: Fitbit, Inc.
disclosure: Fitbit, Inc. ‘Fitbit Charge HR’, announced January 2015 — a wristband with ‘PurePulse’ continuous optical (green-LED PPG) heart rate, a 3-axis accelerometer, steps/distance/floors/calories/active-minutes, automatic sleep tracking, and call/text notifications.
ip status: patented
sensors: sensor-ppg, sensor-accelerometer, sensor-barometer
algorithms: algo-hr, algo-step-count, algo-calorie-estimation, algo-activity-classification, algo-sleep-staging
prior art notes: Discloses a wristband with continuous green-LED reflectance-PPG heart rate plus accelerometry and an altimeter, deriving HR, steps, floors, calories, and sleep, with phone notifications. A mainstream realization of [[mendelson-ochs-1988-reflectance-pulse-oximetry]]-geometry wrist PPG; anticipates wrist-PPG-HR-band claims from January 2015. Product-side anchor for the watch × PPG cross-cut alongside [[apple-watch-original-2015]].

Apple Watch (1st generation, 2015) — wrist green-PPG heart rate and activity (2015-04-24)

id: apple-watch-original-2015
corpus: private
form factor: watch
creator: Apple Inc.
disclosure: Apple Inc. ‘Apple Watch’, announced September 2014, available 24 April 2015 — a wrist-worn device with a green/infrared photoplethysmography heart-rate sensor against the dorsal wrist, accelerometer and gyroscope, and activity/exercise tracking.
ip status: patented
sensors: sensor-ppg, sensor-multi-wavelength-ppg, sensor-accelerometer, sensor-gyroscope
algorithms: algo-hr, algo-step-count, algo-calorie-estimation, algo-activity-classification
prior art notes: Discloses a wristworn device with a dorsal-wrist green-LED photoplethysmography heart-rate sensor (with IR for low-perfusion conditions), inertial sensors, and continuous HR/activity tracking. Anticipates wristworn-PPG-HR claims to the extent they postdate April 2015; combined with the much earlier PPG principle ([[hertzman-1937-photoplethysmography]]) and wrist form factor, the combination is in any case obvious under [[obviousness-template]]. Product-side anchor for the watch × PPG cross-cut.

VitalConnect VitalPatch (2016) — adhesive chest patch with single-lead ECG and multi-parameter monitoring (2016)

id: vitalconnect-vitalpatch-2016
corpus: private
form factor: patch
creator: VitalConnect, Inc.
disclosure: VitalConnect, Inc. ‘VitalPatch’ biosensor, FDA-cleared as a single-use adhesive chest patch with single-lead ECG, heart rate, heart-rate variability, respiratory rate, skin temperature, posture, activity, and fall detection, streamed wirelessly to a smartphone/relay; 7-day wear (later 14-day variants).
ip status: patented
sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature
algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-arrhythmia-classification
prior art notes: Discloses a single-use adhesive chest patch deriving single-lead ECG, HR, HRV, respiratory rate, skin temperature, posture, activity, and falls in one body-worn unit, streamed wirelessly — i.e. a packed multi-parameter vital-signs patch. Anticipates multi-parameter ECG-patch claims combining any subset of those measurements in one adhesive form factor from 2016. Product-side anchor for the patch × multi-parameter-vitals cross-cut alongside [[fda-k113862-irhythm-zio-patch-2011]] (the AFib-focused variant).

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]].

BioIntelliSense BioSticker (2019) — long-wear adhesive chest patch with extensive multi-parameter monitoring (2019-12)

id: biointellisense-biosticker-2019
corpus: private
form factor: patch
creator: BioIntelliSense, Inc.
disclosure: BioIntelliSense, Inc. ‘BioSticker’ single-use adhesive medical-grade biosensor, FDA-cleared 2019 — a chest patch with up to 30-day wear continuously measuring skin temperature, single-lead ECG-derived heart rate at rest, respiratory rate at rest, body position, activity (steps, cadence, gait), sleep, cough, vomiting events, and falls, with wireless upload.
ip status: patented
sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature, sensor-microphone-air
algorithms: algo-hr, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-cough-detection, algo-gait-analysis, algo-sleep-staging
prior art notes: Discloses a single-use 30-day adhesive chest patch combining skin temperature, resting HR-from-ECG, resting RR, posture/activity, sleep, cough and vomiting event detection, and falls — i.e. an unusually broad multi-parameter long-wear patch with explicit event-detection (cough, vomit) classifiers. Anticipates long-wear multi-parameter patch claims from 2019, including the event-detection (cough/vomit) elements that some later patents recite. Product-side anchor for the patch × long-wear multi-parameter cross-cut.

Bangle.js 2 (Espruino, 2021) — open JavaScript-app smartwatch validated in academic research (2021)

id: bangle-js-2-2021
corpus: open
form factor: watch
creator: Pur3 Ltd. (Gordon Williams, Espruino)
disclosure: Espruino / Pur3 Ltd. ‘Bangle.js 2’, released 2021 — Nordic nRF52840 (ARM Cortex-M4), GPS, heart rate, 3-axis accelerometer, magnetometer, pressure sensor; 4-week battery life; JavaScript app development with web-based app loader. https://banglejs.com . Validated for step counting and heart-rate measurement in academic research (multi-subject MDPI study).
ip status: open-permissive
sensors: sensor-ppg, sensor-accelerometer, sensor-magnetometer, sensor-barometer
algorithms: algo-hr, algo-step-count, algo-activity-classification
prior art notes: Discloses an open-hardware smartwatch with PPG + IMU + magnetometer + barometer + GPS, web-loaded JavaScript apps, and 4-week battery life — validated against reference devices in peer-reviewed studies for step counting and HR. As open-source hardware released in 2021 it is unencumbered prior art against patents reciting the open-firmware-platform smartwatch with this sensor set.

HealthyPi Move (ProtoCentral, 2026) — open-source medical-grade smartwatch (2024)

id: healthypi-move-2026
corpus: open
form factor: watch
creator: ProtoCentral Electronics
disclosure: ProtoCentral Electronics (Bengaluru, India). ‘HealthyPi Move’ fully open-source AMOLED smartwatch — Crowd Supply campaign launched 2024, units shipping 15 May 2026. Sensors: single-lead ECG, dual-site PPG (wrist + finger), SpO2, blood-pressure trending, EDA/GSR, heart rate, HRV, respiration rate (derived), body temperature, 6-axis IMU. Compute: Nordic nRF5340 (dual ARM Cortex-M33). Display: AMOLED, 300 mAh battery. Companion app: Flutter, runs on Android/iOS/macOS/Windows/Linux, all data stored locally. Hardware design, firmware (Zephyr RTOS on nRF Connect SDK), and companion app all open-source. https://www.crowdsupply.com/protocentral/healthypi-move
ip status: open-permissive
sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-multi-wavelength-ppg, sensor-gsr, sensor-accelerometer, sensor-gyroscope, sensor-skin-temperature
algorithms: algo-hr, algo-hrv, algo-spo2-estimation, algo-respiratory-rate, algo-pwv-bp-estimation, algo-sleep-staging, algo-activity-classification, algo-step-count
prior art notes: Discloses, as fully open-source hardware and firmware (CC and MIT-style licensing across components), a wrist-worn smartwatch with the full consumer-medical sensor stack: single-lead ECG between back-of-watch electrode and a finger-touch electrode; multi-wavelength reflectance PPG with SpO2 and BP-trending; EDA/GSR; skin temperature; 6-axis IMU; on-device Zephyr-RTOS application; AMOLED display; all-local data storage via cross-platform Flutter app. Anticipates wrist-multi-sensor-watch claims from 2024-2026 to the extent they recite combinations of these elements; as open prior art it is unencumbered and any patent claim reciting these combinations must distinguish over HealthyPi Move’s specific implementation. The product-side anchor for the ‘open watch with the full sensor stack’ cross-cut.

H-Watch (Magno et al., 2024) — open-source ARM Cortex-M4F + ML + NB-IoT + energy-harvesting research smartwatch (2024)

id: h-watch-magno-2024
corpus: academic
form factor: watch
creator: Michele Magno et al. (ETH Zürich and collaborators)
disclosure: Magno M, et al. ‘H-Watch: A Multi-Sensor Smart Wearable for COVID-19 Symptom Monitoring with ML and Energy Harvesting.’ arXiv:2407.21501 (2024). Fully open-source smartwatch hardware + firmware for symptom monitoring: ARM Cortex-M4F MCU, on-device ML inference, NB-IoT cellular connectivity, integrated energy harvesting + battery. https://arxiv.org/abs/2407.21501
ip status: public-domain
sensors: sensor-ppg, sensor-spo2, sensor-skin-temperature, sensor-accelerometer
algorithms: algo-hr, algo-spo2-estimation, algo-respiratory-rate, algo-activity-classification
prior art notes: Discloses a fully open-source research smartwatch combining multi-sensor vitals (PPG/SpO2/temperature/IMU), on-device ML inference, NB-IoT direct cellular connectivity (no phone required), and integrated energy harvesting to extend battery life — published with full hardware design and firmware. Prior art for symptom-monitoring smartwatch claims reciting any of those elements from 2024. Establishes that the cellular-connected open-hardware ML-enabled smartwatch is a published research design.

Cross-cut: algo-activity-classification