Abstract: The subject technology receives a set of inputs from multiple input sources. The subject technology determines a set of input features based on the set of inputs from the multiple input sources. The subject technology performs a time window-based aggregation on the set of input features to generate a set of aggregated features. The subject technology performs feature extraction, using a set of modular components of a modular classifier network, on the set of aggregated features to generate a set of extracted features. The subject technology generates, using a pinch detection head, a probability score indicating the likelihood of an occurrence of a pinch gesture based on the set of extracted features. The subject technology determines, using triggering logic, whether a pinch gesture has occurred based at least in part on the probability score. The subject technology provides a pinch detection output based at least in part on the determining.

Abstract: The subject technology receives a set of inputs from multiple input sources. The subject technology determines a set of input features based on the set of inputs from the multiple input sources. The subject technology performs a time window-based aggregation on the set of input features to generate a set of aggregated features. The subject technology performs feature extraction, using a set of modular components of a modular classifier network, on the set of aggregated features to generate a set of extracted features. The subject technology generates, using a pinch detection head, a probability score indicating the likelihood of an occurrence of a pinch gesture based on the set of extracted features. The subject technology determines, using triggering logic, whether a pinch gesture has occurred based at least in part on the probability score. The subject technology provides a pinch detection output based at least in part on the determining.

Abstract: The subject technology receives a set of inputs from multiple input sources. The subject technology determines a set of input features based on the set of inputs from the multiple input sources. The subject technology performs a time window-based aggregation on the set of input features to generate a set of aggregated features. The subject technology performs feature extraction, using a set of modular components of a modular classifier network, on the set of aggregated features to generate a set of extracted features. The subject technology generates, using a pinch detection head, a probability score indicating the likelihood of an occurrence of a pinch gesture based on the set of extracted features. The subject technology determines, using triggering logic, whether a pinch gesture has occurred based at least in part on the probability score. The subject technology provides a pinch detection output based at least in part on the determining.