A Path Towards Wearable Affective General Intelligence

Citation

Solomon, Samuel Aaron (2025) A Path Towards Wearable Affective General Intelligence. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/2s0x-qq57. https://resolver.caltech.edu/CaltechTHESIS:05082025-224903418

Abstract

Artificial intelligence continues to support our daily decision-making tasks yet remains disconnected from our dynamic emotions driving these behaviors. Wearable technologies can supplement interactions with continuous emotion biofeedback, but existing models struggle to generalize across emerging biomarkers, platforms, and affective expressions. Here, we introduce a meta-analysis into embedding concurrent fragmented biosignals across 15 medical platforms, spanning five bodily locations, within a single profile that enables efficient and generalizable downstream affective analysis. We achieved this through a Lie manifold neural architecture that simultaneously reconstructs over 118,000 missing biometric details in 205 biomarkers and accurately forecasts 100 affective states across cohorts, questionnaires, and activities. We validated this framework across five datasets to propose a new skin-conformal, soft bioelectronic, affective computing platform that demonstrates closed-loop emotion modulation within thermal, audio, and visual interventions delivered through virtual, holographic, and conversational agents. Our framework establishes a new foundational bidirectional architecture for scalable, interpretable, and emotionally intelligent human-computer interactions.

Item Type:

Thesis (Dissertation (Ph.D.))

Subject Keywords:

Wearable; Affective Intelligence; Bioelectronics; Artificial General Intelligence;

Degree Grantor:

California Institute of Technology

Division:

Engineering and Applied Science

Major Option:

Medical Engineering

Thesis Availability:

Not set

Research Advisor(s):

Gao, Wei

Thesis Committee:

Emami, Azita (chair)
Anandkumar, Anima
Perona, Pietro
Gao, Wei

Defense Date:

25 April 2025

Funders:

Funding Agency	Grant Number
NSF Graduate Research Fellowship	UNSPECIFIED
Army Research Office (ARO)	W911NF-23-1-0041
Office of Naval Research (ONR)	N00014-21-1-2483
Office of Naval Research (ONR)	N00014-21-1-2845
NIH	R01HL155815
NIH	R01DC021461
NASA	NNX16AO69A
Heritage Medical Research Institute	UNSPECIFIED

Record Number:

CaltechTHESIS:05082025-224903418

Persistent URL:

https://resolver.caltech.edu/CaltechTHESIS:05082025-224903418

DOI:

10.7907/2s0x-qq57

Related URLs:

URL	URL Type	Description
https://doi.org/10.1038/s41928-023-01116-6	DOI	Article adapted for ch. 5
https://doi.org/10.1126/scirobotics.abn0495	DOI	Article adapted for ch. 2
https://doi.org/10.1002/adma.202107902	DOI	Article adapted for ch. 3
https://doi.org/10.1021/acs.chemrev.2c00823	DOI	Article adapted for ch. 3
https://doi.org/10.48550/arXiv.2411.17935	arXiv	Article adapted for ch. 4

ORCID:

Author	ORCID
Solomon, Samuel Aaron	0000-0001-7199-6659

Default Usage Policy:

No commercial reproduction, distribution, display or performance rights in this work are provided.

ID Code:

17212

Collection:

CaltechTHESIS

Deposited By:

Samuel Solomon

Deposited On:

13 May 2025 23:25

Last Modified:

02 Dec 2025 00:34

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