JP2022510244A - コンテンツを特徴づけるために脳特徴活動マップデータベースを利用するための装置および方法 - Google Patents
コンテンツを特徴づけるために脳特徴活動マップデータベースを利用するための装置および方法 Download PDFInfo
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Abstract
Description
この出願は、2018年12月4日に出願された米国暫定特許出願第62/775,018(特許文献1)の優先権を主張し、その内容は参照により本明細書に組み込まれる。
Claims (17)
- コンピュータにより実現される方法であって:
生物に刺激を供給するステップと;
前記刺激に応答する前記生物の脳活動を測定するステップと;
前記脳活動を特徴付ける脳特徴活動マップを作成するステップと;
複数の前記刺激を供給し、測定し、作成する前記操作ステップを繰り返して、脳の特徴活動マップデータベースを形成するステップと;
新しい刺激を受け取るステップと;
前記新しい刺激の特徴を投影された前記脳特徴活動マップにマッピングするステップと;
前記投影された脳活動マップを前記脳特徴活動マップデータベースと比較して、投影された脳活動マップと脳特徴活動マップデータベースのエントリとの間の類似点および非類似点を識別して、一致を指定するステップと;そして
前記一致に基づいて前記新しい刺激を特徴づけるステップと;
を有することを特徴とする方法。 - 前記脳特徴活動マップが、脳接続性マトリックスを含む、ことを特徴とする請求項1に記載の方法。
- 前記脳接続性マトリックスが、脳コネクトームを形成するための脳組織の微細構造推定に基づく接続性マトリックスの重みを含む、ことを特徴とする請求項2に記載の方法。
- 前記脳特徴活動マップが、接続性関連マトリックスと組み合わされた認知層に基づく、ことを特徴とする請求項1に記載の方法。
- ラベルを前記脳特徴活動マップに適用するステップをさらに含み、前記ラベルは、前記刺激に対する前記生物の解剖学的応答を特徴付ける、ことを特徴とする請求項1に記載の方法。
- 前記測定が、解剖学的磁気共鳴画像法(MRI)、拡散テンソル画像法(DTI)、ファンクショナルMRI(fMRI)、脳波(EEG)、脳磁図(MEG)、赤外線画像法、紫外線画像法、コンピュータトモグラフィー(CT)、脳マッピング超音波、生体内細胞データ、生体内分子データ、ゲノムデータ、および光学的画像化、のうちの1つまたは複数によって行われる、ことを特徴とする請求項1に記載の方法。
- 前記脳活動マップに対応するハードウェア回路を形成するステップをさらに含み、前記ハードウェア回路は、前記刺激に応答する前記ユーザの前記脳活動に対応する能動要素を有する、ことを特徴とする請求項1に記載の方法。
- 複数の生物に刺激を与えるステップと;
前記刺激に応答する前記複数の生物の脳活動を測定するステップと;および
前記脳活動を特徴付ける脳特徴活動マップを作成するステップと;
をさらに有する、ことを特徴とする請求項1に記載の方法。 - 複数のラベル付き刺激を既存の脳特徴活動マップに供給するステップであって各前記ラベルは、前記刺激に対する前記生物の解剖学的応答を特徴付ける、ステップと;そして
前記複数のラベル付き刺激から、脳活動を特徴付ける新しい脳特徴活動マップを作成するステップと;
をさらに有する、ことを特徴とする請求項1に記載の方法。 - 前記複数のラベル付き刺激は、一連の新しい脳特徴活動マップに投影される一連のフレーム、画像、音、触覚信号または匂いを含む、ことを特徴とする請求項9に記載の方法。
- 前記脳特徴活動マップデータベースが、コンテンツラベルを備えた脳特徴活動マップエントリを有する、ことを特徴とする請求項1に記載の方法。
- 前記コンテンツラベルは、好ましくないコンテンツラベルおよび好ましくなくはないコンテンツラベルを含む、ことを特徴とする請求項11に記載の方法。
- 前記好ましくないコンテンツラベルが、暴力的、性的、虐待的または攻撃的な刺激に基づく、ことを特徴とする請求項12に記載の方法。
- 前記脳特徴活動マップデータベースに基づいてコンテンツガイドラインを生成するステップをさらに含む、ことを特徴とする請求項1に記載の方法。
- 前記コンテンツラベルは、意思決定プロセスのために使用される、ことを特徴とする請求項11に記載の方法。
- 前記脳特徴活動マップおよび前記コンテンツラベルが、コンテンツ汚染スコアを計算するために使用される、ことを特徴とする請求項11に記載の方法。
- 前記コンテンツ汚染スコアは、視聴者の幸福に対するコンテンツの影響を特徴付けるコンテンツ強度の尺度である、ことを特徴とする請求項16に記載の方法。
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US201862775018P | 2018-12-04 | 2018-12-04 | |
US62/775,018 | 2018-12-04 | ||
US16/667,198 US20200170524A1 (en) | 2018-12-04 | 2019-10-29 | Apparatus and method for utilizing a brain feature activity map database to characterize content |
US16/667,198 | 2019-10-29 | ||
PCT/IB2019/060414 WO2020115664A1 (en) | 2018-12-04 | 2019-12-03 | Apparatus and method for utilizing a brain feature activity map database to characterize content |
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EP (1) | EP3890604A4 (ja) |
JP (1) | JP7382082B2 (ja) |
KR (1) | KR20210108376A (ja) |
CN (1) | CN113164126A (ja) |
AU (1) | AU2019391425B2 (ja) |
CA (1) | CA3121304A1 (ja) |
IL (1) | IL283489B2 (ja) |
WO (1) | WO2020115664A1 (ja) |
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US11037296B1 (en) * | 2020-08-07 | 2021-06-15 | Omniscient Neurotechnology Pty Limited | Deriving target data from selected brain data |
KR102478278B1 (ko) * | 2020-10-20 | 2022-12-16 | 서울대학교산학협력단 | 뇌의 기능적 활성도에 기반한 뇌 지도 결정 장치 및 방법 |
WO2022120023A1 (en) * | 2020-12-02 | 2022-06-09 | The Texas A&M University System | Systems and methods for characterizing brain activity |
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