ISO/IEC TR 27599:2025
(Main)Information technology — Brain-computer interfaces — Use cases
Information technology — Brain-computer interfaces — Use cases
This document provides a collection of representative use cases of brain-computer interface (BCI) applications in a variety of domains: proposed medical and health, industrial controls, smart environment, etc. This document can be used for the development of potential standards, and it is valuable for a better comprehension of BCI. This document is also helpful for BCI industries and products that provide support for communications among interested parties and stakeholders. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
Titre manque
General Information
Standards Content (Sample)
ISO/IEC TR 27599
Edition 1.0 2025-05
TECHNICAL
REPORT
Information technology – Brain-computer interfaces – Use cases
ICS 35.200 ISBN 978-2-8327-0400-4
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– 2 – ISO/IEC TR 27599:2025 © ISO/IEC 2025
CONTENTS
FOREWORD . 7
INTRODUCTION . 8
1 Scope . 9
2 Normative references . 9
3 Terms and definitions . 9
4 Abbreviated terms. 12
5 Data analysis of BCI use cases . 12
5.1 List of use cases . 12
5.2 Application domains . 14
5.3 Data characteristics and processing methods . 14
5.3.1 General. 14
5.3.2 The characteristics of EEG . 14
5.3.3 EEG signal processing methods . 15
5.4 BCI common challenges and issues. 15
5.4.1 General. 15
5.4.2 Automatic labelling . 16
5.4.3 Experimental preparation . 16
5.4.4 Mind focusing requirement . 16
5.4.5 Data security . 16
5.4.6 Minimized damage for implantable BCI . 16
5.4.7 Signal acquisition (noise, interference, etc.) . 16
5.4.8 Effect difference on inter-subjects or inter-devices . 16
5.4.9 Algorithm-related signal classification accuracy. 16
5.4.10 Portable and comfortable BCI system. 16
5.4.11 Amount of data . 16
5.5 Types, setup, benefits and portability . 16
5.5.1 Invasive or non-invasive . 16
5.5.2 Required acquisition setup . 17
5.5.3 Benefits . 17
5.5.4 Portability . 18
6 Standardization requirements . 19
6.1 Summary of standardization requirements of collected BCI use cases . 19
6.2 Standardization requirements analysis of collected BCI use cases . 23
6.2.1 Standardization requirements categorization . 23
6.2.2 Standardization requirements statistics . 24
6.2.3 Standardization requirements discussion . 24
6.3 Conclusion . 25
7 Use cases . 25
7.1 Overview . 25
7.2 General information on use case . 26
7.3 Smart environment. 26
7.3.1 Passive brain-computer interface-based adaptive automation (use
case 1) . 26
7.3.2 BCI-based smart ward system (use case 2) . 28
7.3.3 Brain-machine interface (BMI) enabled assistive communication system
(use case 3) . 29
7.3.4 Monitoring and early warning technology for the fitness of special
operations personnel based on EEG signals (use case 4) . 32
7.4 Medical and health. 33
7.4.1 Minimally invasive implanted closed-loop brain-computer interface
system (use case 5) . 33
7.4.2 Neural state dependent closed-loop deep brain stimulation (use case 6). 35
7.4.3 Invasive brain cursor control system (use case 7) . 37
7.4.4 Multi-site closed-loop neurostimulation for clinical seizure modulation
(use case 8) . 38
7.4.5 AR-based brain-computer interface for upper limb rehabilitation (use
case 9) . 40
7.4.6 Brain-controlled robot grabbing to assist daily life (use case 10) . 42
7.4.7 Rehabilitation training system based on MI-BCI (use case 11) . 44
7.4.8 Brain-computer interface in diagnosis and treatment of depression (use
case 12) . 45
7.4.9 The M-score: motor function assessment using BCI (use case 13) . 46
7.4.10 Shen Gong robotics: BCI-driven rehabilitation training system (use
case 14) . 48
7.4.11 Music intervention based on brain-computer interface system (use
case 15) . 49
7.4.12 Wearable seizure onset detection system (use case 16) . 51
7.4.13 Clinical diagnosis and prognosis in patients with disorders of
consciousness (DOC) (use case 17) . 52
7.4.14 An adaptive AR display to improve situational awareness using BCI in
stressful and fatigue-inducing situations (use case 18) . 55
7.4.15 Portable brain-related symptom screening, monitoring and surveillance
system using non-invasive electroencephalograph (use case 19) . 58
7.4.16 Portable brain-related symptom management system using non-
invasive brain stimulation (use case 20) . 59
7.4.17 Automated seizure detection and prediction (use case 21) . 61
7.4.18 Near-infrared BCI intervention in patients with stroke (use case 22) . 62
7.4.19 Fusion of multi-modal fNIRs and EEG information for motor imagery
classification (use case 23) . 64
7.4.20 BCI controlled exoskeleton with seven degrees of freedom for
assistance and rehabilitation applications (use case 24) . 65
7.4.21 BCI controlled wheelchair for assistance and rehabilitation (use
case 25) . 66
7.5 Learning, education and training . 68
7.5.1 Reading assessment apparatus (RAA) (use case 26) . 68
7.5.2 BCI-based biofeedback for accelerated learning (use case 27) . 69
7.6 Industrial controls . 72
7.6.1 Brain-computer interface in aerospace applications (use case 28). 72
7.6.2 T-Drone (use case 29) . 74
7.7 Gaming. 76
7.7.1 Cognitive regulation based on brain-computer interface game (use
case 30) . 76
7.7.2 The MindGomoku: an online P300 BCI game (use case 31) . 77
7.8 Security and authentication. 79
7.8.1 Non-invasive brain signal-based biometrics system (use case 32) . 79
Annex A (informative) Figures from the collected use cases . 82
A.1 Passive brain-computer interface (pBCI)-based adaptive automation (AA) . 82
A.2 BCI-based smart ward system . 83
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A.3 Brain-machine interface (BMI) enabled assistive communication system . 83
A.4 Monitoring and early warning technology for the fitness of special operations
personnel based on EEG signals . 84
A.5 Minimally invasive implanted closed-loop brain-computer interface system . 84
A.6 Neural state dependent closed-loop deep brain stimulation . 85
A.7 Invasive brain cursor control system . 86
A.8 Multi-site closed-loop neurostimulation for clinical seizure modulation . 87
A.9 AR-based brain-computer interface . 89
A.10 Brain-controlled robot grabbing to assist daily life . 90
A.11 Rehabilitation training system based on MI-BCI . 91
A.12 Brain-computer interface in diagnosis and treatment of depression . 93
A.13 The M-score: motor function assessment using BCI . 94
A.14 Shen Gong robotics: BCI-driven rehabilitation training system . 95
A.15 Music intervention based on the brain-computer interface system . 96
A.16 Wearable seizure onset detection system . 98
A.17 Clinical diagnosis and prognosis in patients with DOC . 99
A.18 An adaptive AR display to improve situational awareness using BCI in
stressful and fatigue-inducing situations . 100
A.19 Portable brain-related symptom screening, monitoring and surveillance
system using non-invasive electroencephalograph . 101
A.20 Portable brain-related symptom management system
...
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