Estimate visual angles from a subject's perspective in an experimental tunnel

get_vis_angle(obj_name)

Arguments

obj_name

The input viewr object; a tibble or data.frame with attributes pathviewr_steps that include "viewr" and min_dist_calculated.

Value

A tibble or data.frame with added variables for vis_angle_pos_rad, vis_angle_pos_deg, vis_angle_neg_rad, vos_angle_neg_deg, vis_angle_end_rad, and vis_angle_end_deg.

Details

get_vis_angle() assumes the following:

  • The subject's gaze is fixed at the point on the either side of the tunnel that minimizes the distance to visual stimuli and therefore maximizes visual angles.

  • The subject's head is facing parallel to the length axis of the tunnel. Visual perception functions in future versions of pathviewr will integrate head orientation coordinates. Angles are reported in radians/cycle (vis_angle_pos_rad) and degrees/cycle (vis_angle_pos_deg).

See also

Other visual perception functions: calc_min_dist_box(), get_sf()

Author

Eric R. Press

Examples

## Import sample data from package motive_data <- read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv", package = 'pathviewr')) flydra_data <- read_flydra_mat(system.file("extdata", "pathviewr_flydra_example_data.mat", package = 'pathviewr'), subject_name = "birdie_sanders") ## Process data up to and including get_min_dist() motive_data_full <- motive_data %>% relabel_viewr_axes() %>% gather_tunnel_data() %>% trim_tunnel_outliers() %>% rotate_tunnel() %>% select_x_percent(desired_percent = 50) %>% separate_trajectories(max_frame_gap = "autodetect") %>% get_full_trajectories(span = 0.95) %>% insert_treatments(tunnel_config = "v", perch_2_vertex = 0.4, vertex_angle = 90, tunnel_length = 2, stim_param_lat_pos = 0.1, stim_param_lat_neg = 0.1, stim_param_end_pos = 0.3, stim_param_end_neg = 0.3, treatment = "lat10_end_30") %>% calc_min_dist_v(simplify_output = TRUE) %>% ## Now calculate the visual angles get_vis_angle()
#> autodetect is an experimental feature -- please report issues.
flydra_data_full <- flydra_data %>% redefine_tunnel_center(length_method = "middle", height_method = "user-defined", height_zero = 1.44) %>% select_x_percent(desired_percent = 50) %>% separate_trajectories(max_frame_gap = "autodetect") %>% get_full_trajectories(span = 0.95) %>% insert_treatments(tunnel_config = "box", tunnel_length = 3, tunnel_width = 1, stim_param_lat_pos = 0.1, stim_param_lat_neg = 0.1, stim_param_end_pos = 0.3, stim_param_end_neg = 0.3, treatment = "lat10_end_30") %>% calc_min_dist_box() %>% ## Now calculate the visual angles get_vis_angle()
#> autodetect is an experimental feature -- please report issues.